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Contract Amazon Data Science Jobs in Missouri (NOW HIRING)

... contract-related input, partner performance management, and ongoing vendor governance. * Lead and mentor multidisciplinary teams including program managers, technical leads, data scientists, and ...

Pharmacy Manager, Amazon Pharmacy

Chesterfield, MO · On-site

$64.25 - $75.75/hr

BASIC QUALIFICATIONS - Bachelor's degree in Science, or Doctor of Pharmacy in PharmD, or Doctor of ... data - 1 year Staff Pharmacist experience within Amazon Pharmacy (if currently an Amazon employee ...

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Education/Experience: Bachelor's degree in Computer Science, Computer Engineering, Software ... CockroachDB, Amazon Aurora and Redis; Linux - RedHat; Continuous Integration and Deployment ...

As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable ... Amazon, PostgreSQL, Oracle) * Master`s degree in computer science, mathematics, GIS, or related ...

Senior Forward Deployed Engineer- AWS

Saint Louis, MO · 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 ...

Senior Forward Deployed Engineer- AWS

Kansas City, MO · On-site

$102K - $140K/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 ...

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 ...

Lead Forward Deployed Engineer - AWS

Saint Louis, MO · On-site

$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 ...

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 ...

Lead Forward Deployed Engineer - AWS

Kansas City, MO · On-site

$100K - $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 ...

Showing results 41-60

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 Missouri?

The most popular types of Amazon Data Science jobs in Missouri are:

What are popular job titles related to Contract Amazon Data Science jobs in Missouri?

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

What job categories do people searching Contract Amazon Data Science jobs in Missouri look for?

The top searched job categories for Contract Amazon Data Science jobs in Missouri are:

What cities in Missouri are hiring for Contract Amazon Data Science jobs?

Cities in Missouri with the most Contract Amazon Data Science job openings:

Program Director: Coding data

Jobgether

Remote

Full-time

PTO

Posted 5 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Program Director: Coding Data based in Netherlands.

This is a fully remote leadership opportunity focused on delivering complex AI and data programs for major clients and high-impact technology initiatives.
You will own the execution of a substantial portfolio of projects, turning strategic objectives into reliable, high-quality production outcomes.
The role combines technology consulting, program leadership, technical oversight, and client management in a fast-moving AI environment.
You'll work closely with senior client stakeholders, researchers, data scientists, ML engineers, software engineers, and business development teams.
A key focus will be ensuring programs meet ambitious quality, timeline, budget, margin, scalability, and security expectations.
You'll also shape responsible AI practices and help build high-performing cross-functional teams and delivery processes.
This role is ideal for an experienced technology leader who combines top-tier consulting experience with hands-on software engineering or data science expertise.

Accountabilities
  • Own the strategy, roadmap, governance, and success metrics for complex AI programs, ensuring alignment with business objectives and senior leadership expectations.
  • Lead the end-to-end delivery of multiple AI and technology initiatives, including LLM-powered products, intelligent automation, analytics, and data programs.
  • Ensure projects consistently meet agreed scope, timelines, budgets, quality standards, and commercial objectives.
  • Translate ambiguous business challenges into clearly defined technical workstreams, architectures, delivery plans, and measurable outcomes.
  • Establish effective program governance, including operating cadences, steering committees, risk and issue management, decision-making processes, and executive reporting.
  • Work directly with client researchers, C-level stakeholders, product leaders, data teams, engineering teams, and other technical specialists to maintain alignment and delivery momentum.
  • Lead solution design reviews and provide technical oversight, challenging proposed approaches where necessary to ensure AI solutions are robust, scalable, secure, and production-ready.
  • Embed responsible and ethical AI principles throughout program delivery, including data privacy, bias mitigation, model monitoring, and human-in-the-loop workflows.
  • Manage relationships with external vendors and strategic technology partners, including cloud providers, model providers, and systems integrators.
  • Support technical evaluations, contract-related input, partner performance management, and ongoing vendor governance.
  • Lead and mentor multidisciplinary teams including program managers, technical leads, data scientists, and engineering professionals.
  • Identify opportunities to improve delivery processes, operating models, and program execution standards.
  • Work closely with Business Development to ensure successful project execution translates into strong client outcomes, long-term relationships, and revenue growth.
Requirements
  • 10+ years of experience in technology consulting, technology delivery, digital transformation, data, or related fields, including significant experience at a Big 3 consulting firm or another top-tier consultancy.
  • 5+ years of program or portfolio management experience, including leadership of large, multidisciplinary technology programs with multi-million-dollar budgets.
  • Proven track record of taking AI, data, analytics, ML, or LLM-powered solutions from conceptualization through production deployment.
  • Hands-on technical background in software engineering or data science, with strong familiarity with technologies such as Python, Java, machine learning, data platforms, and modern AI systems.
  • Ability to read and review code and provide informed technical input into architecture, engineering, and solution design decisions.
  • Strong understanding of the LLM lifecycle, including development, evaluation, deployment, monitoring, and continuous improvement.
  • Demonstrated ability to communicate complex technical and business concepts clearly to C-level executives, clients, technical teams, and non-technical stakeholders.
  • Strong strategic thinking combined with a hands-on, execution-oriented approach to program leadership.
  • Proven ability to operate effectively in ambiguous environments, identify problems proactively, and introduce process improvements.
  • Exceptional stakeholder management, influencing, negotiation, and communication skills.
  • Experience leading and mentoring high-performing, cross-functional teams.
  • Strong understanding of responsible AI principles, including privacy, bias mitigation, model monitoring, and human oversight.
  • Willingness and ability to work effectively in a fully distributed, international environment.
Benefits
  • Fully remote working opportunity within Europe.
  • Full-time or contract engagement options.
  • Competitive compensation package including base salary, bonus, and ESOP.
  • Paid time off, with additional benefits varying according to location and employment arrangement.
  • IT equipment and home office allowance.
  • Opportunity to work on complex, high-impact AI and technology programs.
  • International and highly collaborative environment with colleagues and clients across multiple markets.
  • Significant leadership responsibility and autonomy over major AI delivery programs.
  • Opportunity to shape new standards and approaches in the rapidly evolving AI and technology sector.
  • Access to a diverse network of experienced technology, data science, engineering, and AI professionals.
  • Inclusive environment committed to equal opportunity and merit-based hiring.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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