ZipRecruiter

Log In

1

Contract Amazon Data Science Jobs in Raleigh, NC

LexisNexis

Sr Data Scientist II

Raleigh, NC · On-site

Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream ... Demonstrate senior-level Python proficiency and sound computer-science fundamentals. * Treat ...

RELX

Sr Data Scientist II

Raleigh, NC · On-site

Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream ... Demonstrate senior-level Python proficiency and sound computer-science fundamentals. * Treat ...

RELX Group plc

Sr Data Scientist II

Raleigh, NC · On-site

Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream ... Demonstrate senior-level Python proficiency and sound computer-science fundamentals. * Treat ...

LexisNexis

Sr Data Scientist II

Raleigh, NC · On-site

Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream ... Demonstrate senior-level Python proficiency and sound computer-science fundamentals. * Treat ...

Redhat

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat ...

New

GlaxoSmithKline

Contract & Rebate Analyst

Durham, NC · Hybrid

$66K - $80K/yr

Maintain accurate contract membership data and system attributes to support compliant payments and ... Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma ...

GSK

Contract & Rebate Analyst

Durham, NC · On-site

$66K - $80K/yr

Maintain accurate contract membership data and system attributes to support compliant payments and ... Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma ...

Deloitte

Lead Forward Deployed Engineer - AWS

Raleigh, NC

$99K - $131K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Deloitte

Senior Forward Deployed Engineer- AWS

Raleigh, NC · On-site

$101K - $139K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Deloitte

Forward Deployed Engineer- AWS

Raleigh, NC

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

previous page

Showing results 41-60

All JobsContract Amazon Data Science JobsContract Amazon Data Science Jobs in Raleigh, NC

Contract Amazon Data Science information

What is a contract Amazon data science job?

Contract Amazon Data Science jobs are temporary or project-based roles where professionals use data analysis, machine learning, and statistical techniques to support Amazon's business goals. These positions typically involve working on specific data-driven projects, such as optimizing supply chains, improving recommendation systems, or analyzing customer behavior. Contractors may be hired for a set period or until project completion, and they often collaborate with Amazon's full-time data scientists and engineers. These roles require strong technical skills in programming, data analysis, and familiarity with tools like Python, SQL, and AWS services.

What are the key skills and qualifications needed to thrive as a contract Amazon data scientist?

To thrive as a Contract Amazon Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and a relevant degree in computer science, statistics, or a related field. Experience with Python or R, SQL, AWS services, and familiarity with data visualization tools like Tableau are typically required. Effective communication, problem-solving abilities, and adaptability are essential soft skills that set candidates apart. These skills ensure you can extract actionable insights from large datasets, communicate findings clearly, and drive data-informed decisions in Amazon's fast-paced environment.

What are some common challenges faced by contract data scientists working with Amazon teams?

Contract data scientists at Amazon often need to quickly adapt to new teams and proprietary tools, while delivering insights under tight deadlines. Navigating Amazon's large-scale data infrastructure and understanding internal processes can be challenging initially. However, collaboration with cross-functional stakeholders, such as product managers and engineers, is encouraged to ensure project alignment and success. Contract roles typically offer exposure to cutting-edge projects, providing valuable experience and networking opportunities within Amazon's dynamic environment.

What are the most commonly searched types of Amazon Data Science jobs in Raleigh, NC?

The most popular types of Amazon Data Science jobs in Raleigh, NC are:

What are popular job titles related to Contract Amazon Data Science jobs in Raleigh, NC?

For Contract Amazon Data Science jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Contract Amazon Data Science jobs in Raleigh, NC look for?

The top searched job categories for Contract Amazon Data Science jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Contract Amazon Data Science jobs?

Cities near Raleigh, NC with the most Contract Amazon Data Science job openings:

Contract Amazon Data Science jobs near you
Infographic showing various Contract Amazon Data Science job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Sr Data Scientist II

LexisNexis

Raleigh, NC • On-site

Other

Posted 11 days ago

Job description

Are you excited about shaping the next generation of AI-powered legal technology through generative AI, retrieval systems, and production-grade machine learning?
Do you enjoy building reliable, scalable applications that transform complex AI capabilities into impactful customer solutions?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (;br>
About the Role
We are looking for a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering fundamentals and demonstrated ownership of production applications. This role will focus on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components.
The successful candidate must be able to independently design, refactor, test, review, deploy, and support clean, reliable Python applications. This includes separating agent responsibilities, designing for failure, applying sound algorithmic reasoning, and establishing appropriate logging, monitoring, testing, and operational controls.
The ideal candidate has advanced Python proficiency, experience with OpenSearch or Solr, success working in monorepo environments, and a strong record of cross-functional delivery.
Key Responsibilities
  • Architect modular agentic applications with clear separation among retrieval, prompt construction, model invocation, tool execution, state and history management, orchestration, validation, and response formatting.
  • Independently refactor complex or legacy Python code to improve correctness, readability, modularity, extensibility, testability, and runtime performance.
  • Own production readiness for AI components, including input validation, exception handling, timeout management, retries with backoff, fallback behavior, configuration management, and secure handling of credentials.
  • Establish observability for LLM and retrieval workflows through structured logging, metrics, distributed tracing, alerting, and actionable error reporting.
  • Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream application components.
  • Write comprehensive unit, integration, regression, and end-to-end tests, including tests for failure modes, malformed model responses, empty retrieval results, and unavailable dependencies.
  • Review Python and agentic application code, identify architectural and operational risks, and provide actionable feedback aligned with production engineering standards.
  • Diagnose and optimize latency, memory usage, retrieval performance, token consumption, model cost, and application scalability.
  • Apply appropriate data structures, algorithms, and computational-complexity analysis when designing and optimizing solutions.
  • Participate in production deployments, incident investigation, root-cause analysis, remediation, and continuous reliability improvements.

Required Qualifications
  • Advanced Python proficiency demonstrated through independently designing, implementing, debugging, testing, reviewing, and refactoring production applications.
  • Strong command of Python fundamentals, standard data structures, common algorithms, object-oriented and functional design principles, type annotations, and time and space complexity analysis.
  • Demonstrated ability to transform prototype or experimental code into modular, maintainable, observable, and production-ready systems.
  • Strong understanding of software design principles, including separation of concerns, dependency injection, interface design, configuration management, and effective abstraction.
  • Experience implementing automated unit, integration, regression, and end-to-end testing using tools such as pytest, including appropriate mocking of external services.
  • Experience designing resilient distributed applications that account for timeouts, retries, rate limits, partial failures, malformed responses, idempotency, and graceful degradation.
  • Experience with production observability, including structured logging, metrics, tracing, alerting, and incident troubleshooting.
  • Demonstrated ability to conduct rigorous code reviews and identify correctness, maintainability, performance, security, testing, and operational risks.
  • Experience taking technical ownership of applications across their lifecycle, from design and experimentation through deployment, monitoring, incident response, and ongoing improvement.
  • Strong understanding of production LLM concerns, including structured output validation, context management, model and tool failures, prompt versioning, token and cost controls, security, and evaluation.

Preferred Qualifications
  • Experience with Python quality tooling such as pytest, ruff, mypy, profiling tools, and automated CI quality gates.
  • Experience defining typed schemas and validating LLM inputs and outputs using tools such as Pydantic.
  • Experience building evaluation frameworks for agentic systems, including task-completion, retrieval-quality, groundedness, hallucination, latency, reliability, and cost metrics.
  • Experience implementing model fallbacks, tool-use controls, guardrails, human-in-the-loop workflows, and auditability for AI applications.
  • Experience supporting production services and participating in incident response, root-cause analysis, and post-incident remediation.

The successful candidate will:
  • Demonstrate senior-level Python proficiency and sound computer-science fundamentals.
  • Treat correctness, maintainability, testing, resilience, security, and observability as core design requirements.
  • Recognize architectural issues and improve code beyond simply making it functional.
  • Independently review and refactor complex agentic application code.
  • Make clear engineering tradeoffs involving quality, latency, scalability, reliability, and cost.
  • Take end-to-end ownership from experimentation through production deployment and operational support.
  • Communicate technical decisions and code-review feedback clearly and constructively.
  • Combine strong LLM and retrieval expertise with disciplined software-engineering practices.

Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. #AIFluent
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Illinois, the base pay range is $110,100 - $183,500.If performed in Chicago, IL, the base pay range is $115,400 - $192,200.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.

Apply