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.

About Us

Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.

We are a small, growing and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the company's mission. Leadership is earned by those who show initiative and deliver excellence.

We seek engineers/researchers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of excellent research, coding, and communication skills.

LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.

About the Role

As an Agent Research Engineer, you will help advance the highest levels of the tech stack to imbue AI systems with true agency. Collaborating directly with our technical founder and diverse team, we will build the next generation of general learning agents. Possessing and maintaining a wide, deep and holistic knowledge base of cutting-edge research is crucial for advancing the mission. Many are called, but few are chosen.

• Full-Time
• On-site at either our SF or LA offices

Tech Stack

Python, Engrish, LLMs, ANNs, C++/Cuda

Ideal Experience

• Deep expertise in systems engineering across the tech stack
• Strong holistic background in machine learning theory and practice
• Diverse knowledge of neural architectures/circuits: transformers etc
• Published research at top AI conferences

Key Responsibilities

• Lead cutting-edge research in AI agents, focusing on memory, reliability, and reasoning
• Prototype and evaluate novel state-of-the-art methods/models

Interview Process

After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:

• Initial screening (virtual 15 minutes)
• Quick dive into Vast, systems and architectures (virtual 30 minutes)
• LLM assisted coding assessment (virtual 1 hour)
• Meet and greet with coding assessment (on-site 2 hours)

Our goal is to complete the interview process in two weeks.

Annual Salary Range

$160,000 - $320,000 + equity + benefits

Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.

Location: Plano-TX - onsite 5 days a week

Duration: 6 months

F2F Interview

MUST HAVE: 5 years banking, 10 years’ experience

Responsibilities:

· Framework Development: Build and optimize test automation frameworks using Karate, Java, and other automation tools.

· Tool Development: Design and develop new testing tools and solutions for software quality assurance.

· Proof of Concept: Evaluate and create PoCs for emerging testing tools and technologies.

· Technical Leadership: Provide technical direction and mentorship for test automation initiatives.

· Resource Management: Lead and coordinate onshore and offshore teams to ensure project success.

· Test Automation Strategy & Implementation: Define and execute test automation strategies, integrating with CI/CD pipelines.

Mandatory Requirements:

· Minimum 10 years of hands on experience in Technology

· Minimum 5+ years of experience in the banking industry

· Cloud & DevOps: AWS, Kubernetes, OpenShift, Terraform, Docker, Container Management

· Backend Development: Java, Spring Boot, REST APIs, Microservices, JVM Troubleshooting, Node.js, Python, Kotlin, C

· Frontend Development: JavaScript, React-Redux, TypeScript, jQuery

· API & Architecture: API Gateway, REST, Swagger, Web Services, API Governance

· Databases: PL/SQL, MySQL, PostgreSQL, Aurora AWS, MongoDB, DynamoDB

· Test Automation: Karate, SmartSpec, Component Testing, Photon-Boot

· CI/CD & Deployment: Spinnaker, Jules, EKS, Manual Deployments, Splunk Logging

· Business Consulting & Project Management: Experience working with clients from startups to Tier 1 banks

The Cybersecurity Compliance Manager is responsible for ensuring that the organization maintains full adherence to all regulatory, legal, and industry cybersecurity standards. This role oversees the implementation and maintenance of frameworks such as ISO 27001, SOC 2, GDPR, HIPAA, PCI-DSS, and NIST. They develop internal policies, manage compliance documentation, and support certification efforts.

A key part of the role involves conducting regular internal audits, risk assessments, and gap analyses to identify weaknesses in security controls. The manager collaborates with department leaders and technical teams to implement corrective actions and strengthen the company's security posture. They must stay updated with evolving compliance requirements to ensure continuous alignment.

The manager also plays an essential role in vendor management and third-party security assessments. They evaluate external partners, ensure contracts meet compliance standards, and track remediation activities. Their goal is to guarantee that all external relationships uphold the company’s cybersecurity expectations.

Training and awareness programs are another crucial responsibility. The manager develops and leads employee training on security best practices, data protection, and compliance obligations. These programs help reduce human-related risks and build a culture of security across the organization.

Finally, the Cybersecurity Compliance Manager works closely with legal, IT, and senior leadership to provide compliance insights, prepare reports, and guide strategic decisions. They serve as the primary point of contact during external audits and ensure all compliance goals are maintained year-round.

Your opportunity

At Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

Personalized Investing Engineering (PIE) develops and operates Schwab's most innovative products with a primary goal of delighting our clients while empowering them to meet their financial objectives. PIE leads delivery of three products, each with a common focus on personalizing the investment experience to the needs of our customers. We invite you to learn more by visiting our product descriptions Thematic Investing, Intelligent Portfolios, and Financial Planning.

The Thematic Investing Client Experience team is looking for a talented technical hands-on Software Developer to build internal and external client-facing interactive web components. This position will be focused on contributing to a trading component team in development practices, operational standards, platform evolution and platform resiliency. This role will require a high level of responsibility and accountability, and yet has a support structure vital for development growth while continuing to build and grow our Thematic Investing platforms.

We are looking for a motivated mid-level software engineer with strong skills in JavaScript, Angular, Java, Spring Boot, and test automation. You will be responsible for building, maintaining, and refactoring core client services, with a focus on both feature development and testing. The ideal candidate will have experience in end-to-end testing and will play a key role in delivering high-quality software through robust test automation.

What you have

Required Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent work experience.
• 4+ years professional experience in software engineering
• 3+ years of Java and JavaScript
• 3+ years of test-driven development and quality automation.

Preferred Qualifications

• Proficiency in JavaScript and Angular, with experience in developing reusable components and services.
• Solid knowledge of Java and Spring Boot for backend development, with an understanding of API design and maintenance. Experience in end-to-end testing frameworks such as WebDriver and Selenium.
• Familiarity with test automation practices and tools.
• Experience in refactoring and maintaining legacy code to improve performance and reliability.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and a collaborative mindset.
• Develop, maintain, and refactor core client services using JavaScript(Angular) for frontend and Java(Spring Boot) for backend.
• Implement and optimize end-to-end testing solutions to ensure seamless functionality across systems.
• Build and maintain test automation suites for both frontend and backend components.
• Work with cross-functional teams to identify, refactor, and maintain legacy code to ensure scalability and performance.
• Collaborate with team members to improve the maintainability and reliability of critical client services.
• Troubleshoot and debug applications, addressing issues in both code and infrastructure.
• Follow agile development practices and contribute to continuous process improvement.

What’s in it for you

At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance

Build the future of the AI Data Cloud. Join the Snowflake team.

Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.

This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.

IN THIS ROLE YOU WILL GET TO:

• Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
• Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
• Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
• Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
• Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
• Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
• Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
• 1+ years of practical Snowflake experience.
• Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

Title: Database Migration Engineer
Location: Remote

Job Description:

We are seeking a skilled Database Migration Engineer to support the migration of on-premises Oracle and SQL Server databases to AWS Cloud database platforms. The ideal candidate will also provide occasional support for our GCP infrastructure platform. This role requires a strong understanding of various IT subject areas, infrastructure technologies, and application development methodologies.

Specialized Knowledge & Skills:
• Solid understanding of Bootstrap framework.
• Cloud Services:
• Demonstrated experience with AWS services, including but not limited to KMS, Glue Catalog, Athena, IAM, S3, Logging (EMR, EC2, RDS).
• Experience with GCP infrastructure platform.
• Operating Systems:
• Proficient in Linux operating systems.
• Data Management:
• Knowledge and understanding of ETL processes and Informatica.
• Strong experience in debugging, identifying root causes, and solving application issues.
• Database Administration:
• 5+ years of experience in a DBA role, configuring and supporting multiple database platforms (PostgreSQL, MySQL, MS SQL Server, Oracle).
• Experience in provisioning, upgrading, and tuning database services.
• Familiarity with provisioning new database services, especially for production deployments.
• Ability to provide guidance for efficient application design using database managed services.
• Involvement in tuning exercises affecting application performance.
• Review DDL prior to deployment if requested by the application team, without managing DDL on behalf of the application team.

Qualifications:
• 5+ years of experience in a DBA role, configuring and supporting a wide range of database platforms (Oracle, PostgreSQL, MySQL, MS SQL Server).
• 5+ years of experience with cloud services (AWS, GCP).
• Strong problem-solving skills and the ability to work both independently and collaboratively.
• Excellent communication and collaboration skills.