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What is the role of a Data Scientist Senior at Jobgether?

The Data Scientist Senior position at Jobgether is a Full-time or part-time position opportunity in the Science field.

Where is this Data Scientist Senior job located?

United States, Other / Non-US, United States

What type of employment is offered for this Data Scientist Senior role?

Full-time or part-time position

What is the expected salary for this Data Scientist Senior job?

Compensation will be discussed during the hiring process.

Data Scientist Senior job near me in United States, Other / Non-US at Jobgether

Data Scientist Senior

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist Senior in the United States.

This role sits at the intersection of advanced analytics, artificial intelligence, and large-scale enterprise modernization, supporting mission-critical government programs through data-driven innovation. You will design, build, and deploy AI/ML solutions that transform how organizations leverage data for decision-making, automation, and operational intelligence. Working in a highly collaborative environment, you will contribute to both experimental prototyping and production-grade systems that integrate generative AI, machine learning, and cloud-native architectures. The position involves hands-on development of solutions such as LLM-based applications, agentic frameworks, and intelligent classification systems. You will also help accelerate AI adoption across teams by evaluating tools, improving workflows, and enabling scalable data science practices. This is a high-impact opportunity to shape the future of applied AI within a complex, real-world enterprise ecosystem.

Accountabilities

Design, develop, and deploy AI/ML solutions from prototype to production, ensuring scalability, performance, and reliability across enterprise environments.
Implement generative AI solutions using LLMs, retrieval augmented generation (RAG), and agent-based architectures to support automation and intelligent decision-making.
Build AI systems for program tracking, knowledge management, classification, and operational reporting across large datasets.
Integrate AI capabilities into existing platforms and legacy systems, leveraging cloud services and APIs to enable seamless orchestration.
Develop and evaluate both custom-built and vendor-based AI solutions, including experimentation with AI coding tools to improve development efficiency.
Collaborate with data engineering teams to support ETL pipelines, data integration, and scalable data architecture design.
Communicate insights, technical designs, and results effectively to both technical teams and leadership stakeholders.

Requirements

This role requires a strong background in data science and applied machine learning, with hands-on experience delivering production-level AI solutions. Candidates should bring at least 5+ years of experience in AI/ML roles, supported by a Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field (8+ years preferred for senior expertise). A deep understanding of machine learning, statistical modeling, and experimental design is essential, along with practical experience in generative AI and LLM-based systems. Strong programming ability in AI/ML environments, including experience with cloud platforms such as AWS (SageMaker, Lambda, Bedrock), is expected. Familiarity with data engineering concepts, APIs, and enterprise system integration is also important. Success in this role requires strong communication skills, analytical thinking, and the ability to translate complex technical concepts into actionable business insights.

5+ years of experience in data science or AI/ML (8+ preferred)
Strong hands-on experience building and deploying production AI/ML systems
Experience with generative AI, LLMs, and RAG architectures
Proficiency in machine learning, statistical analysis, and experimental design
Experience with AWS AI/ML services (SageMaker, Lambda, Bedrock)
Knowledge of data pipelines, ETL processes, and APIs
Strong programming and AI development skills, including use of AI coding tools
Excellent communication and stakeholder engagement skills

Benefits

Remote-first work with flexible scheduling
Competitive salary aligned with experience and location
Comprehensive healthcare coverage (medical, dental, vision)
401(k) with company match and retirement savings options
Paid time off, holidays, and parental leave programs
Professional development support and internal mobility opportunities
Access to advanced AI, cloud, and data science technologies
Inclusive, mission-driven environment focused on innovation and impact

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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Data Scientist Senior in United States at Jobgether

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