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Retail Data Analyst – Customer Insights & Sales Optimization

A Retail Data Analyst specializing in customer insights and sales optimization plays a critical role in helping retail businesses understand their customers, improve sales strategies, and optimize overall store performance. This role requires a strong blend of analytical skills, retail knowledge, and business acumen to transform raw data into meaningful insights that drive decision-making across marketing, sales, and operations.

The primary responsibility of this role is to collect, clean, and analyze customer and sales data from various retail channels, including in-store purchases, online sales, loyalty programs, and customer feedback platforms. The analyst identifies key trends, shopping behaviors, and patterns that can be used to improve customer engagement and increase sales. For example, by analyzing purchase history, a Retail Data Analyst can determine which products are most popular among certain demographics, identify cross-selling opportunities, and provide insights for targeted promotions.

This position also requires close collaboration with marketing and merchandising teams. Analysts help design personalized marketing campaigns, loyalty rewards programs, and seasonal promotions that appeal to specific customer groups. They also provide reports on campaign effectiveness, showing which strategies resulted in higher sales and customer retention. By providing actionable recommendations, the Retail Data Analyst ensures that marketing spend is allocated efficiently.

Another key responsibility is monitoring and improving store performance. Analysts evaluate sales per square foot, inventory turnover, and product category performance to suggest ways to improve product placement and shelf optimization. They also help forecast demand and reduce stockouts or overstock situations by using predictive modeling techniques. Accurate forecasting helps retailers manage supply chain operations more effectively, ensuring customers always find the products they need.

Additionally, Retail Data Analysts play a role in pricing strategy. By examining competitor pricing, customer willingness to pay, and historical sales data, they can recommend optimal pricing models that balance profitability and competitiveness. They also analyze customer satisfaction surveys, online reviews, and social media sentiment to measure brand perception and improve customer service strategies.

To excel in this role, one must have strong proficiency in data analysis tools such as SQL, Python, R, and Excel, along with experience using visualization tools like Tableau or Power BI. Knowledge of retail management systems (POS, ERP, CRM) is also beneficial. Beyond technical skills, critical thinking, communication, and business storytelling are essential, as analysts must present findings in a clear and actionable manner to stakeholders.

In summary, a Retail Data Analyst in customer insights and sales optimization is responsible for turning retail data into strategies that boost sales, improve customer loyalty, and enhance overall business performance. By leveraging data-driven insights, they help retailers stay competitive in a rapidly evolving market.

Title: FinCrime Investigator
Location: Hybird

Resource Proposal for FinCrime Investigator – Integration Modernization Initiative
Project Name: Integration Modernization
Resource Requirement: Cloud Security Engineer - Contractor
Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)

Executive Summary
The Integration Modernization initiative aims to enhance Ulta's capabilities by modernizing existing systems, optimizing processes, and enabling seamless communication across various platforms, focusing on a move to Google Cloud Platform (GCP). As part of this effort, we will integrate a range of tools and technologies, including TIBCO, APIGEE, Kafka, and additional integration platforms (TBD) over the next 12 months.
Scope of Work
The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation.
Key responsibilities include:

1. Security Assessment and Risk Management:
   • Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
   • Identify and mitigate potential vulnerabilities in cloud-based architectures.
   • Ensure proper encryption and key management protocols are in place.
2. Architecture and Design:
   • Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
   • Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.
3. Tool and Platform Security:
   • Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
   • Manage security integrations with Ulta's identity management systems.
4. Monitoring and Incident Response:
   • Set up continuous monitoring for security events and anomalies across the integration platforms.
   • Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.
5. Compliance and Auditing:
   • Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
   • Conduct regular audits of security controls and recommend improvements as needed.
6. Documentation and Knowledge Transfer:
   • Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
   • Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.

Resource Justification
The integration modernization initiative is crucial for maintaining competitive advantages and supporting the company's strategic goals. As the organization adopts new cloud-based tools and integrates multiple platforms, securing these technologies is critical to minimizing risks associated with data breaches, cyberattacks, and regulatory non-compliance.
Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization's assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.

Skills and Experience Required
The ideal candidate will have a combination of the following skills and experience:
Technical Skills:

• Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
• Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
• API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
• Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
• Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
• DevSecOps: Familiarity with CI/CD pipelines and automating security controls within development processes.

Machine Learning Engineer - AI Agent

What you can expect

Zoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to enhance communication and productivity solutions. We're dedicated to advancing the frontier of AI-powered collaboration tools that can understand, reason, and act autonomously while maintaining security and trust.

About the Team

We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.

Responsibilities

• Design and implement autonomous agent systems with task reasoning, planning, and execution capabilities.
• Develop prompt engineering frameworks for reliable agent behavior and coordination in multi-agent environments.
• Build and maintain LLM-powered services using models like GPT-4, Claude, and internal models.
• Develop efficient prompt management systems and evaluation frameworks for optimizing agent performance.
• Optimize model infrastructure for low latency, high throughput, and reliable context handling.
• Deploy agent systems on Kubernetes with monitoring, logging, and scalable microservices architectures.
• Implement vector storage and retrieval systems for semantic search and efficient memory management.
• Build robust testing frameworks for agent behavior validation and continuous improvement.
• Ensure proficiency in LLM APIs, agent frameworks, Python, ML frameworks, distributed systems, and semantic search.

What we’re looking for

• Advanced degree in Computer Science or related fields.
• 3+ years of experience in ML engineering
• Strong background in NLP and transformer architectures
• Experience with production ML systems
• Experience building autonomous agent systems
• Research experience in LLM alignment or safety
• Contributions to open-source LLM/agent projects
• Publications in NLP/ML conferences

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations.

Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.

About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.

Company Description

We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers, and engineers committed to pushing the boundaries of AI to create transformative solutions. Join our diverse and collaborative team and play a pivotal role in harnessing AI's incredible power to help professionals reach their full potential.

Responsibilities

• Develop and optimize neural network architectures, including CNNs, for real-time image analysis and pattern recognition.
• Adapt pre-trained language models to our specific domain and use cases.
• Develop and deploy state-of-the-art computer vision models for real-time applications.
• Experiment with different fine-tuning techniques to improve model performance on relevant tasks.
• Build visual models to analyze and process image, video, and text data and combine them with additional external and internal sources of multi-modal data

Minimum Qualifications

• Experienced in machine learning and computer vision, in research and/or production.
• Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
• Master’s, PhD, or equivalent industry experience.
• Strong desire to build and scale a startup from the early days.

Required skills

• Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
• Knowledge of neural networks, CNNs, and image processing techniques.
• Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
• Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
• Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.

Nice to Have:

• Experience working at a startup
• Experience with real-time video analysis, object detection, and scene understanding.
• Experience with visual transformers and their applications in computer vision tasks such as 3D modeling, neural rendering, or advanced video processing.

Minimum Qualifications

• Strong desire to build and scale a startup from the early days.
• Experienced in machine learning and computer vision, in research and/or production.
• Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
• Master’s, PhD, or equivalent industry experience.

Required skills

• Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
• Knowledge of neural networks, CNNs, and image processing techniques.
• Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
• Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
• Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.

Nice to Have:

• Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, etc.
• Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
• Peer-reviewed publications in multi-modality, large language models, continual learning and/or federated learning.

Note:

1) Role does not sponsor visa at this time.

2) Role will have option to convert full time after initial contract with generous equity.

We are LAUSD. We are at the forefront of innovation in public education, focused on a clear and inspiring vision of the future for all of our students as they venture forward on their journey as lifelong learners. Here, you will have the opportunity to exercise your potential in a role supporting the business of education. Our work directly contributes toward the goal of ensuring that our students graduate ready for the world – ready to thrive in college, career and life. LAUSD is the second largest school district in the nation with an enrollment of nearly 575,000 students. We serve an area totaling 710 square miles, with over 1,190 schools and educational centers, and we employ over 74,000 individuals, making us one of the largest employers in our city.

LAUSD Employees: Please be advised that all LAUSD employees must sign in to the GlobalProtect Virtual Private Network (VPN) in order to submit an application from an external network outside of an LAUSD location. For assistance with installing the GlobalProtect virtual network, please contact Information Technology Services at (213) 443-1300 or (213) 241-5200.

DEPARTMENT OR SCHOOL SITE

The District has 600+ staff members, including programmers, network engineers, and administrative staff - all of whom provide support to the Schools and most District offices in a professional, forward thinking, and challenging environment. Technologies supported range from personal systems to enterprise-wide systems and applications.

PROJECT

In LAUSD's Information Technology Services, a Cyber Security Engineer II configures, evaluates, operates and maintains a variety of security controls and tools to perform complex Cyber Security operational tasks including developing and evaluating approaches to solving Cyber Security challenges.

BENEFITS

Insurance: Paid premiums for your choice of several medical, dental, vision, and life insurance plans.

Retirement: Membership in the California Public Employee Retirement System (CalPERS).

Vacation: Two weeks of paid vacation to start. Three weeks after five years of year-round paid service.

Paid Holidays: Up to 13 days.

JOB DUTIES/RESPONSIBILITIES

The following list includes the essential job duties/responsibilities of this classification:

• Evaluates and participates in the development of requirements for network and security technologies and devices to ensure the requirements are adequate for the District.
• Performs network security device and appliance testing, implementation, and maintenance via installation, upgrades, patches, and updates with appropriate security controls such as authentication and configuration.
• Collaborates with various IT units in the District’s vulnerability management program by performing technical scans, highlighting vulnerabilities and providing remediation to reduce risk.
• Assesses security threats posed by changes in systems architecture and dependencies.
• Collaborates with higher level engineers in the review of security architecture to identify gaps or deficiencies within the District’s network in order resolve issues or find solutions.
• Validates and configures Domain Name Server (DNS) requests by creating internal and external A records, internal and external C name aliases, and creating external TXT records.
• Analyzes and corrects security-related connectivity issues utilizing network management systems.
• Configures firewalls by creating and maintaining access list rules, creating object groups and

processing network addressing translation requests to maintain access control.

• Configures the District’s web access filter by processing requests on dashboard to ensure the functionality of the system and review dashboard for actionable items.
• Fulfills Virtual Private Network (VPN) requests by adding new users to active directory VPN groups, maintaining and configuring access lists, adding IP addresses to access list, assign software token for password generation, and review authentication logs and troubleshoot access issues.
• Recommends security solutions or enhancements to existing security solutions to improve overall

enterprise security.

• Collaborates with higher level engineers in the deployment, integration and initial configuration of all new security solutions and of any enhancements to existing security solutions.
• Researches IT security issues and industry trends to make recommendations for internal improvement.
• Performs related duties as assigned

MINIMUM REQUIREMENTS

Education:
Graduation from a recognized college or university with a bachelor’s degree in computer science or a related field. Qualifying experience in addition to that required may be substituted on a year-for-year basis provided that the requirement of a high school diploma or equivalent is met.

Experience:
Four years of recent experience in the engineering, installation, configuration, and maintenance of security devices for a large organization; such as next-generation firewalls, Virtual Private Networks, intrusion detection/prevention systems, multi-factor authentication, next-generation endpoint security, and Security Information Event Management systems.

Special:
Cisco Certified Network Professional (CCNP) Security, Cisco Certified CyberOps Professional or equivalent is required and must be kept valid during the term of employment
Any Global Information Assurance Certification GIAC certification is preferred
Information Technology Infrastructure Library (ITIL) Foundation level certification is preferable
A valid driver’s license to legally operate a motor vehicle in the state of California and the use of a motor vehicle.

DESIRABLE QUALIFICATIONS

The ideal candidate would have the knowledge of:

• Current firewall, VPN, content filtering, and intrusion detection methodologies
• TCP/IP protocols including IP addressing, subnetting and well known ports
• Knowledge of security tools such as IDS/IPS, SIEM, DLP
• Knowledge of vulnerability assessment tools including but not limited to Nessus, Nmap and Metasploit
• Risk and threat assessment processes and practices
• Malware such as worms, viruses and Trojans
• Proof of Concepts procedures and processes
• Project management techniques

The ideal candidate would also have the ability to:

• Install, configure and monitor network security devices, including firewalls, VPN, content filtering, and Intrusion Detection Systems
• Design and implement technical modifications to firewall, VPN, content filtering, and intrusion detection rule sets
• Learn characteristics of new security threats, vulnerabilities, and countermeasure techniques and technology
• Effectively communicate technical information to all levels of staff
• Maintain effective working relationships
• Identify and analyze trends related to threats
• Conduct WireShark captures
• Train and mentor staff effectively
• Maintain up-to-date detailed knowledge of the IT Security industry including awareness of new or revised security solutions, improved security processes, and the deployment of new attacks and threat vectors

ADDITIONAL POSTING INFORMATION

Selection and promotion are based on a competitive employment assessment process. Candidates who pass all parts of the assessment process are placed on a hiring (eligibility) list based on their assessment score. Hiring departments may make job offers to candidates on the top three ranks of the hiring list. Eligibility typically lasts for 12 months. The hiring list resulting from this assessment process may be used to fill open positions in related job classifications.

The Los Angeles Unified School District is committed to providing a working and learning environment free from discrimination, harassment, intimidation, abusive conduct, or bullying. The District prohibits discrimination, harassment, intimidation, abusive conduct or bullying based on actual or perceived race or ethnicity, gender/sex (including gender identity, gender expression, pregnancy, childbirth, breastfeeding/lactation status and related medical conditions), sexual orientation, religion, color, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code), ancestry, immigration status, physical or mental disability (including clinical depression and bipolar disorder, HIV/AIDS, hepatitis, epilepsy, seizure disorder, diabetes, multiple sclerosis, and heart disease), medical condition (cancer related and genetic characteristics), military and veteran status, marital status, registered domestic partner status, age (40 and above), genetic information, political belief or affiliation (unless union related), a person's association with a person or group with one or more of these actual or perceived characteristics, or any other basis protected by federal, state or local law, ordinance, or regulation in any program or activity it conducts or to which it provides significant assistance.

Selection and promotion are based on a competitive employment assessment process. Candidates who pass all parts of the assessment process are placed on a hiring (eligibility) list based on their assessment score. Hiring departments may make job offers to candidates on the top three ranks of the hiring list. Eligibility typically lasts for 12 months. The hiring list resulting from this assessment process may be used to fill open positions in related job classifications.

We are LAUSD. We are at the forefront of innovation in public education, focused on a clear and inspiring vision of the future for all of our students as they venture forward on their journey as lifelong learners. Here, you will have the opportunity to exercise your potential in a role supporting the business of education. Our work directly contributes toward the goal of ensuring that our students graduate ready for the world – ready to thrive in college, career and life. LAUSD is the second largest school district in the nation with an enrollment of nearly 575,000 students. We serve an area totaling 710 square miles, with over 1,190 schools and educational centers, and we employ over 74,000 individuals, making us one of the largest employers in our city.

LAUSD Employees: Please be advised that all LAUSD employees must sign in to the GlobalProtect Virtual Private Network (VPN) in order to submit an application from an external network outside of an LAUSD location. For assistance with installing the GlobalProtect virtual network, please contact Information Technology Services at (213) 443-1300 or (213) 241-5200.

DEPARTMENT OR SCHOOL SITE

The District has 600+ staff members, including programmers, network engineers, and administrative staff - all of whom provide support to the Schools and most District offices in a professional, forward thinking, and challenging environment. Technologies supported range from personal systems to enterprise-wide systems and applications.

PROJECT

In LAUSD's Information Technology Services, a Cyber Security Engineer II configures, evaluates, operates and maintains a variety of security controls and tools to perform complex Cyber Security operational tasks including developing and evaluating approaches to solving Cyber Security challenges.

BENEFITS

Insurance: Paid premiums for your choice of several medical, dental, vision, and life insurance plans.

Retirement: Membership in the California Public Employee Retirement System (CalPERS).

Vacation: Two weeks of paid vacation to start. Three weeks after five years of year-round paid service.

Paid Holidays: Up to 13 days.

JOB DUTIES/RESPONSIBILITIES

The following list includes the essential job duties/responsibilities of this classification:

• Evaluates and participates in the development of requirements for network and security technologies and devices to ensure the requirements are adequate for the District.
• Performs network security device and appliance testing, implementation, and maintenance via installation, upgrades, patches, and updates with appropriate security controls such as authentication and configuration.
• Collaborates with various IT units in the District’s vulnerability management program by performing technical scans, highlighting vulnerabilities and providing remediation to reduce risk.
• Assesses security threats posed by changes in systems architecture and dependencies.
• Collaborates with higher level engineers in the review of security architecture to identify gaps or deficiencies within the District’s network in order resolve issues or find solutions.
• Validates and configures Domain Name Server (DNS) requests by creating internal and external A records, internal and external C name aliases, and creating external TXT records.
• Analyzes and corrects security-related connectivity issues utilizing network management systems.
• Configures firewalls by creating and maintaining access list rules, creating object groups and

processing network addressing translation requests to maintain access control.

• Configures the District’s web access filter by processing requests on dashboard to ensure the functionality of the system and review dashboard for actionable items.
• Fulfills Virtual Private Network (VPN) requests by adding new users to active directory VPN groups, maintaining and configuring access lists, adding IP addresses to access list, assign software token for password generation, and review authentication logs and troubleshoot access issues.
• Recommends security solutions or enhancements to existing security solutions to improve overall

enterprise security.

• Collaborates with higher level engineers in the deployment, integration and initial configuration of all new security solutions and of any enhancements to existing security solutions.
• Researches IT security issues and industry trends to make recommendations for internal improvement.
• Performs related duties as assigned

MINIMUM REQUIREMENTS

Education:
Graduation from a recognized college or university with a bachelor’s degree in computer science or a related field. Qualifying experience in addition to that required may be substituted on a year-for-year basis provided that the requirement of a high school diploma or equivalent is met.

Experience:
Four years of recent experience in the engineering, installation, configuration, and maintenance of security devices for a large organization; such as next-generation firewalls, Virtual Private Networks, intrusion detection/prevention systems, multi-factor authentication, next-generation endpoint security, and Security Information Event Management systems.

Special:
Cisco Certified Network Professional (CCNP) Security, Cisco Certified CyberOps Professional or equivalent is required and must be kept valid during the term of employment
Any Global Information Assurance Certification GIAC certification is preferred
Information Technology Infrastructure Library (ITIL) Foundation level certification is preferable
A valid driver’s license to legally operate a motor vehicle in the state of California and the use of a motor vehicle.

DESIRABLE QUALIFICATIONS

The ideal candidate would have the knowledge of:

• Current firewall, VPN, content filtering, and intrusion detection methodologies
• TCP/IP protocols including IP addressing, subnetting and well known ports
• Knowledge of security tools such as IDS/IPS, SIEM, DLP
• Knowledge of vulnerability assessment tools including but not limited to Nessus, Nmap and Metasploit
• Risk and threat assessment processes and practices
• Malware such as worms, viruses and Trojans
• Proof of Concepts procedures and processes
• Project management techniques

The ideal candidate would also have the ability to:

• Install, configure and monitor network security devices, including firewalls, VPN, content filtering, and Intrusion Detection Systems
• Design and implement technical modifications to firewall, VPN, content filtering, and intrusion detection rule sets
• Learn characteristics of new security threats, vulnerabilities, and countermeasure techniques and technology
• Effectively communicate technical information to all levels of staff
• Maintain effective working relationships
• Identify and analyze trends related to threats
• Conduct WireShark captures
• Train and mentor staff effectively
• Maintain up-to-date detailed knowledge of the IT Security industry including awareness of new or revised security solutions, improved security processes, and the deployment of new attacks and threat vectors

ADDITIONAL POSTING INFORMATION

Selection and promotion are based on a competitive employment assessment process. Candidates who pass all parts of the assessment process are placed on a hiring (eligibility) list based on their assessment score. Hiring departments may make job offers to candidates on the top three ranks of the hiring list. Eligibility typically lasts for 12 months. The hiring list resulting from this assessment process may be used to fill open positions in related job classifications.

The Los Angeles Unified School District is committed to providing a working and learning environment free from discrimination, harassment, intimidation, abusive conduct, or bullying. The District prohibits discrimination, harassment, intimidation, abusive conduct or bullying based on actual or perceived race or ethnicity, gender/sex (including gender identity, gender expression, pregnancy, childbirth, breastfeeding/lactation status and related medical conditions), sexual orientation, religion, color, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code), ancestry, immigration status, physical or mental disability (including clinical depression and bipolar disorder, HIV/AIDS, hepatitis, epilepsy, seizure disorder, diabetes, multiple sclerosis, and heart disease), medical condition (cancer related and genetic characteristics), military and veteran status, marital status, registered domestic partner status, age (40 and above), genetic information, political belief or affiliation (unless union related), a person's association with a person or group with one or more of these actual or perceived characteristics, or any other basis protected by federal, state or local law, ordinance, or regulation in any program or activity it conducts or to which it provides significant assistance.

Selection and promotion are based on a competitive employment assessment process. Candidates who pass all parts of the assessment process are placed on a hiring (eligibility) list based on their assessment score. Hiring departments may make job offers to candidates on the top three ranks of the hiring list. Eligibility typically lasts for 12 months. The hiring list resulting from this assessment process may be used to fill open positions in related job classifications.

Overview:

A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, and transparent. This role sits at the intersection of data science, philosophy, policy, and law.

Key Responsibilities:

• Analyze datasets and algorithms for bias, fairness, and representativeness.
• Design ethical frameworks for AI and data usage.
• Work with data scientists, engineers, and product teams to implement responsible AI practices.
• Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).
• Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.
• Educate stakeholders on data ethics principles.

Required Skills:

• Strong foundation in data science and machine learning.
• Understanding of ethical theory, philosophy, or AI ethics.
• Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).
• Ability to communicate complex ideas to non-technical stakeholders.
• Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).

Open to current or former Federal, Intelligence Analysts (0132) within the Intelligence Community. This announcement is NOT applicable to current or former FBI Intelligence Analysts or Supervisory Intelligence Analysts. Applications will not be accepted from outside this area of consideration.

The FBI is an Intelligence Community (IC) agency like no other. As an FBI Intelligence Analyst (IA), you will lead analysis of criminal and national security threats to the U.S. that helps the FBI, policymakers, and partners identify threats and opportunities and inform decision-making. You will apply analytic tradecraft to analyze information derived from our unique blend of law enforcement and intelligence authorities. You will work with special agents, other FBI and IC colleagues, and partners to identify threat priorities, collection strategies, and disruption opportunities.

FBI is looking for applicants who exhibit the identified critical skills listed under the Selective Placement Factor section of this job posting working at one of the 18 agencies designated by the ODNI. https://www.intelligence.gov/how-the-ic-works#our-organizations

Key Requirements

• Must be current or former Federal, Intelligence Analysts (0132) within the Intelligence Community.
• Must attend and successfully progress beyond the Intelligence Analyst Meet and Greet
• Must be able to obtain a Top-Secret SCI clearance from the FBI
• Must have a bachelor’s degree from an accredited college or university

Candidates selected from this posting will be required to successfully graduate from a 12- week Intelligence Basic Field Training Course (BFTC) at our training facility in
Quantico, Va.

• Must sign a mobility service agreement indicating your willingness to relocate to any office, based on the needs of the FBI

Candidates selected from this posting will be assigned to HQ divisions primarily in Washington DC, but potentially including locations that house FBI HQ personnel such as McLean VA Chantilly VA, Crystal City VA, Merrifield VA, Linthicum MD, Huntsville AL, Pocatello ID, Quantico and Fredericksburg VA, and Clarksburg, WV.

• Must adhere to the two-year IA probationary period starting from the effective date of first assignment

Required Documents
Failure to provide necessary and relevant information required by this job posting may disqualify you from consideration.

1. Resume (relevant/specialized work experience with start and end dates)
2. Official/Unofficial Transcript
3. SF-50 showing current employment as a 0132 at a designated IC agency
Additional information will not be requested if your application is incomplete. Your application will be evaluated solely based on information you have submitted.

Major Duties
As an IA, you will:

• Review FBI communications to identify and evaluate the intelligence information therein.
• Prepare and disseminate intelligence information while protecting sources and investigations through correct document classification and controls.
• Communicate with FBI field offices, legal Attaches (Legats), analysts, and members of the Intelligence Community (IC), policy, and law enforcement communities to gain a better

understanding of sources, operations, missions, and requirements.

• Assist in the preparation of collection instructions, guides, and manuals for FBI entities and interact with outside entities to facilitate their initiatives.
• Analysis to include collation of raw, primary, and secondary data derived from various sources such as automated data base systems, operational intelligence reports, miscellaneous

communications, case files, internal and external automation systems, and other sources.

• Prepares parts of more complex studies or reports that include aspects related to their specifically-defined geographic or functional area.
• May participate in interagency committees and meetings as representatives of the organization or functional area.
• Evaluates incoming reports and information and performs interpretations and projections under the guidance of senior analysts.
• Prepares basic descriptive and current reportorial intelligence reports to higher-level analysts and superiors in their assigned area of responsibility.
• Ensures compliance with laws, regulations, executive orders, and directives promulgated by the Congress, Attorney General, the Director of the FBI, and the Office of Director of National

Intelligence (ODNI) to achieve goals and objectives.

Qualifications and Evaluations

• Current or Former Federal Intelligence Analysts should ONLY apply to the grade level in which they currently hold.
• Your resume and supporting documentation will be used to determine whether you meet the job qualifications and competencies listed in this announcement and will be compared to your

responses to the online assessment questionnaire.

• Applicants must meet the qualification requirements by the closing date of this announcement.
• Please ensure your specialized experience/requirement(s) can be identified in your resume.

Competencies

• Analytic Thinking
• Communication
• Information Management
• Collaboration
• Flexibility and adaptability
• Organization and planning
• Problem solving and judgement

Specialized Experience (SE)
GS 11: Applicants must have at least one (1) year of experience at the GS11 grade level. SE is as follows:

• Conduct analytical reviews of data to identify patterns.
• Analyze information and make decisions regarding its value and worth to a case.
• Provide briefings, intelligence reports, and/or recommendations to management or higher-level staff.

GS 12: Applicants must have at least one (1) year of experience at the GS12 grade level. SE is as follows:

• Guide investigative, programmatic, and policy decisions by the intelligence, policy, and law enforcement communities.
• Manage the collection and dissemination of intelligence information from investigations, sources and contacts to the intelligence, policy, and law enforcement communities.
• Perform liaison duties with other US and foreign government agencies on a wide variety of topics.

GS 13: Applicants must have at least one (1) year of experience at the GS13 grade level. SE is as follows:

• Interpretation of investigative information and extrapolating data for the collection, analysis, evaluation, and dissemination to the appropriate officials of the IC, law enforcement agencies,

and other government entities.

• Review information/data, determine the significance, and validate its accuracy and reliability.
• Use of various analytical techniques and devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events.

GS 14: Applicants must have at least one (1) year of experience at the GS14 grade level. SE is as follows:

• Expertly handle complex issues, providing guidance to investigative, programmatic, policy decisions by the intelligence, policy, and law enforcement communities.
• Expertly able to review information/data, determine the significance, validate its accuracy and reliability
• Using various analytical techniques, devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events

Initiate dialogue with counterparts in the analytical and intelligence community to anticipate emerging intelligence issues

Selective Placement Factors

Please ensure that one or more of the following are identified within your resume:

• Cyber: computer science, engineering, information assurance/security, information science, data science/analytics, ethical/white hat hacking, telecommunications security,

programming/coding or computer forensics.
OR

• National Security: International relations/foreign affairs, international migration, world religions, homeland security, international law, international finance, SIGINT or offensive technological

collection operations, or subject and source targeting.
OR

• Hard Sciences: Engineering, chemical, biological/agriculture, physics, physical science, biometrics, biomedical, or forensic science. Experience and familiarization with artificial intelligence,

quantum information sciences, immersive technologies, vehicle telematics, energy infrastructure, microelectronics, and wireless technology.
OR

• Other: Accounting/economics, geospatial/mapping, open-source intelligence, journalism, electrical or psychology/sociology. Degree of study in the following areas: Central Asia, China,

Korea, the Middle East, African/Arabian Peninsula, Eurasia, Cuba, or Latin America.

The Incident Response Specialist is responsible for monitoring, detecting, and analyzing cybersecurity events across the organization. They use advanced tools such as SIEM, EDR, IDS/IPS, and forensic platforms to identify suspicious activity and assess potential threats. Their expertise enables the team to respond quickly to security incidents.

When incidents occur, the IR Specialist leads the full lifecycle response, including triage, containment, eradication, recovery, and post-incident analysis. They coordinate with technical teams to neutralize threats and minimize impact on business operations. They prepare detailed incident reports outlining root causes, findings, and mitigation steps.

The specialist also develops and maintains incident response playbooks and escalation procedures. They constantly refine processes based on evolving threats, new technologies, and lessons learned from previous incidents. This ensures the organization remains prepared for future attacks.

In addition to technical work, the IR Specialist collaborates closely with security engineering, IT operations, compliance, and executive teams. They share threat intelligence, contribute to security improvements, and support proactive defense strategies. Their communication skills help bridge the gap between technical findings and business decisions.

Ongoing threat hunting, log analysis, and research are also part of the role. The IR Specialist stays updated on emerging attack techniques, malware trends, and cybersecurity tools. Their goal is to enhance the organization’s readiness, reduce risk exposure, and strengthen overall cybersecurity resilience.

Business Analyst

Location: Remote

Project Details: Corporate Banking Application Support and Enhancements

Accounting and Data Governance related Analysis and support

Maintain overall In house applications systems to ensure day to day functioning

End of Term Support and ensure monthly, quarterly and yearly reports submission to Regulatory Boards

Responsibilities:

• Conduct comprehensive requirement analysis to capture and document end-to-end business use cases effectively.
• Develop detailed business cases and provide support to Operations teams during User Acceptance Testing (UAT).
• Create and maintain functional requirement documentation with accuracy and clarity.
• Communicate and transfer end-to-end requirements seamlessly to the technical team, ensuring alignment with business objectives.
• Offer ongoing support and clarification to the technical team during the development phase.

Requirements:

• Strong understanding of capital markets and the corporate banking regulatory framework.
• Expertise in accounting principles and practices.
• In-depth knowledge of US banking regulations is essential.
• Experience providing data governance support for accounting teams.

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together.

We invite you to bring your performance, ideas and innovations to an elite team within a culture built for collaboration. At UnitedHealth Group, we seek individuals who have the ability to drive change, take appropriate risks and influence individuals at all levels of the organization. We are seeking a talented and driven Senior Data Scientist to join our high performing Medicare and Retirement Government Quality Programs team, focusing on improving member experience and driving performance in CAHPS (Consumer Assessment of Healthcare Providers and Systems) star measures. In this role, you will leverage cutting-edge technologies, advanced statistical methods, and machine learning techniques to deliver actionable insights and recommendations that influence key organizational decisions. As a subject matter expert, you will collaborate with cross-functional teams to design and implement analytical solutions that optimize healthcare outcomes and transform the member experience. As a subject matter expert, the data scientist will recommend best approaches to transform the healthcare industry. Join us.

You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Perform advanced data analytics to identify insights that can be incorporated into strategic recommendations for improving member health care experience
• Work in a cross-disciplinary environment to embed analytics into strategies that address business problems through data-driven solutions
• Develop solid relationships with stakeholders to define business questions, develop hypotheses and design experiments to improve member outcomes
• Clearly communicate complex findings and make recommendations to non-technical stakeholders
• Support data acquisition and integration necessary to execute analytics projects
• Understand and explain drivers of survey outcomes
• Bring disparate data together with knowledge of health care and government policy to develop and communicate sound business recommendations to leaders throughout the organization
• Provide guidance to junior level data scientists on best practices and methodologies
• Self-motivated and demonstrates an innate ability to absorb new concepts, technical frameworks, program paradigms while employing them creatively to solve complex analytical problems
• Critical thinker- this position will need to evaluate merits of new and innovative ideas and make sound decisions

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• 4+ years of professional experience in developing analytical solution using techniques such as machine learning, text mining/analysis, simulations, hypothesis testing, etc.
• 3+ years of professional experience with programming languages
• 3+ years of professional experience applying data analysis to solve business problems
• 2+ years of professional experience communicating analytic results to stakeholders

Preferred Qualifications:

• Experience with Medicare Advantage products or the healthcare industry
• Experience working with survey data
• Proven solid communicator - this role will need to be comfortable presenting program objectives, process, and performance in multiple setting

• All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

The salary range for this role is $89,800 to $176,700 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Title: FinCrime Investigator
Location: Hybird

Resource Proposal for FinCrime Investigator – Integration Modernization Initiative
Project Name: Integration Modernization
Resource Requirement: Cloud Security Engineer - Contractor
Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)

Executive Summary
The Integration Modernization initiative aims to enhance Ulta's capabilities by modernizing existing systems, optimizing processes, and enabling seamless communication across various platforms, focusing on a move to Google Cloud Platform (GCP). As part of this effort, we will integrate a range of tools and technologies, including TIBCO, APIGEE, Kafka, and additional integration platforms (TBD) over the next 12 months.
Scope of Work
The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation.
Key responsibilities include:

1. Security Assessment and Risk Management:
   • Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
   • Identify and mitigate potential vulnerabilities in cloud-based architectures.
   • Ensure proper encryption and key management protocols are in place.
2. Architecture and Design:
   • Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
   • Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.
3. Tool and Platform Security:
   • Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
   • Manage security integrations with Ulta's identity management systems.
4. Monitoring and Incident Response:
   • Set up continuous monitoring for security events and anomalies across the integration platforms.
   • Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.
5. Compliance and Auditing:
   • Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
   • Conduct regular audits of security controls and recommend improvements as needed.
6. Documentation and Knowledge Transfer:
   • Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
   • Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.

Resource Justification
The integration modernization initiative is crucial for maintaining competitive advantages and supporting the company's strategic goals. As the organization adopts new cloud-based tools and integrates multiple platforms, securing these technologies is critical to minimizing risks associated with data breaches, cyberattacks, and regulatory non-compliance.
Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization's assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.

Skills and Experience Required
The ideal candidate will have a combination of the following skills and experience:
Technical Skills:

• Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
• Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
• API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
• Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
• Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
• DevSecOps: Familiarity with CI/CD pipelines and automating security controls within development processes.

Job Overview

We are seeking a highly analytical and forward-thinking Business Analyst with strong AI expertise to join our team. In this role, you will act as the bridge between business stakeholders, data/AI engineering teams, and product management. You will analyze business requirements, identify opportunities to integrate AI solutions, optimize workflows, and support data-driven decision-making. This position requires strong analytical thinking, excellent communication skills, and a solid understanding of artificial intelligence concepts, machine learning capabilities, and modern automation tools.

Key Responsibilities

1. Business Analysis & Requirements Gathering

• Conduct in-depth analysis of business processes to identify challenges, inefficiencies, and automation opportunities.
• Collaborate with cross-functional stakeholders to translate business needs into well-defined functional and technical requirements.
• Facilitate workshops, interviews, and user story sessions to gather comprehensive insights.
• Prepare detailed documentation including BRDs, FRDs, process maps, and user journey flows.

2. AI & Data Strategy Development

• Identify areas where AI (predictive analytics, NLP, computer vision, RPA, generative AI) can create measurable business value.
• Evaluate the feasibility of AI solutions and provide recommendations based on cost, data availability, complexity, and ROI.
• Work closely with AI/ML engineers to define use cases, training data requirements, and model performance criteria.
• Support the design of scalable AI-driven tools, dashboards, and automation systems.

3. Data Analysis & Insights

• Analyze large datasets to uncover trends, patterns, and insights supporting strategic decisions.
• Develop KPIs, metrics, and performance tracking reports to measure AI initiative success.
• Work with data engineers to ensure data quality, accuracy, governance, and accessibility.

4. Product & Project Management

• Contribute to product roadmaps, sprint planning, and prioritization of AI/business analytics initiatives.
• Support end-to-end execution of AI projects—from concept to deployment.
• Monitor project timelines, risks, and deliverables, ensuring outcomes meet business expectations.
• Collaborate with UX/UI teams to design intuitive AI-powered user experiences.

5. Change Management & Training

• Assist in developing training materials for stakeholders to adopt new AI tools and processes.
• Support change management activities including communication plans and impact assessments.
• Advocate for ethical AI use, transparency, and responsible data practices across the organization.

Required Skills & Qualifications

• Bachelor’s degree in Business, Data Analytics, Computer Science, Information Systems, or related field.
• 3–6+ years of experience as a Business Analyst, Data Analyst, Product Analyst, or similar role.
• Strong understanding of AI technologies (machine learning, NLP, predictive modeling, RPA, generative AI).
• Experience working with data visualization tools (Power BI, Tableau, Looker, etc.).
• Knowledge of SQL or basic programming (Python preferred) is a plus.
• Excellent skills in process mapping, requirement documentation, and stakeholder communication.
• Ability to translate technical concepts into simple, business-friendly language.
• Strong problem-solving and critical-thinking skills.

Preferred Qualifications

• Experience working in AI-driven transformation or digital innovation projects.
• Familiarity with cloud platforms (Azure, AWS, GCP).
• Exposure to MLOps or AI model lifecycle management.
• Certification in Business Analysis (CBAP, CCBA, ECBA) or Agile methodologies (Scrum Master, Product Owner).
• Experience with LLMs, prompt engineering, or generative AI integration in enterprise workflows.

Soft Skills & Competencies

• Strategic mindset with a passion for innovation and emerging technologies.
• Strong interpersonal skills with the ability to influence and engage stakeholders.
• Exceptional documentation, presentation, and storytelling abilities.
• Adaptability to fast-paced, evolving environments.
• Detail-oriented with strong organizational and multitasking skills.

What We Offer

• Opportunity to work on cutting-edge AI initiatives with real business impact.
• Collaborative, growth-oriented, and inclusive work environment.
• Professional development, training, and access to AI-learning resources.
• Competitive compensation and benefits package.

Taking care of people is at the heart of everything we do, and we start by taking care of you, our valued colleague. A career at Sedgwick means experiencing our culture of caring. It means having flexibility and time for all the things that are important to you. It’s an opportunity to do something meaningful, each and every day. It’s having support for your mental, physical, financial and professional needs. It means sharpening your skills and growing your career. And it means working in an environment that celebrates diversity and is fair and inclusive.

A career at Sedgwick is where passion meets purpose to make a positive impact on the world through the people and organizations we serve. If you are someone who is driven to make a difference, who enjoys a challenge and above all, if you’re someone who cares, there’s a place for you here. Join us and contribute to Sedgwick being a great place to work.

PRIMARY PURPOSE : To develop complex reports and analyze company data including Corporate or client specific data; to serve as a technical resource for company staff on data analysis and benchmarking issues; to meet with clients on such issues as necessary; to provide training and data analysis education for program staff; and to provide technical oversight and guidance to client dedicated analysts located in multiple field offices.

ESSENTIAL FUNCTIONS and RESPONSIBILITIES

• Develops comprehensive, complex and accurate information reports.
• Creates complex data reports and provides analysis for forecasting and/or benchmarking used by senior management.
• Reports directly to senior management; communicates data findings for forecasting and client needs.
• Obtains, analyzes and provides appropriate feedback on company or client specific information needs.
• Provides complex data analysis functions to meet client specific, program or company senior management needs.
• Serves as a resource for colleagues on data analysis and benchmarking issues.
• Provides technical oversight and guidance to client dedicated analysts located in multiple field offices.
• Provides training and data analysis education for colleagues.

ADDITIONAL FUNCTIONS and RESPONSIBILITIES

• Performs other duties as assigned.
• Supports the organization's quality program(s).
• Travels as required.

QUALIFICATIONS

Education & Licensing
Bachelor's degree with major in Business Administration, Statistics, or Quantitative Analysis from an accredited college or university preferred. Computer Science courses preferred.

Skills & Knowledge

• • Knowledge of risk management information systems including utilization and functionality
  • Excellent oral and written communication, including presentation skills
  • PC literate, including Microsoft Office products
  • Analytical and interpretive skills
  • Strong organizational skills
  • Strong time management skills
  • Excellent interpersonal skills
  • Excellent negotiation skills

WORK ENVIRONMENT
When applicable and appropriate, consideration will be given to reasonable accommodations.

Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines

Physical: Computer keyboarding, travel as required

Auditory/Visual: Hearing, vision and talking

NOTE : Credit security clearance, confirmed via a background credit check, is required for this position.

The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

Title: Data Scientist - Causal Inference and Statistical Analysis

Location: Remote - EST time zone

DiD/PSM modeling, causal inference, AB testing, demand forecasting, and statistical background. Tech stack is Python, PySpark, SQL, Databricks.

Responsibilities:

• Develop and implement causal inference models such as DiD and PSM to assess the impact of various interventions and programs.
• Design and conduct A/B tests to evaluate the effectiveness of marketing strategies, product changes, and other business initiatives.
• Perform rigorous statistical analysis to derive actionable insights from complex datasets.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Ensure the accuracy and reliability of models through continuous evaluation and refinement.
• Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
• Stay up-to-date with the latest advancements in data science, causal inference, and statistical methodologies.

Qualifications:

• Proven experience in developing and applying causal inference models, including DiD and PSM.
• Strong background in designing and analyzing A/B tests.
• Proficiency in statistical analysis and data manipulation using tools such as Python, PySpark, SQL and Databricks
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills, both written and verbal, to effectively convey complex concepts to non-technical stakeholders.
• A degree in Statistics, Data Science, Economics, or a related field is preferred.
• Preferred Experience:
• Previous experience in the retail or pharmacy industry.
• Familiarity with large datasets and data warehousing solutions.
• Knowledge of machine learning techniques and their application in business contexts.