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Full Time Data Science Engineer Jobs (NOW HIRING)

T-Mobile

Senior Data Science Engineer

Philadelphia, PA · On-site

$116K - $210K/yr

You'll collaborate with engineers, data scientists, product managers, and other stakeholders to ... for new full-time employees and about 2.5 weeks for new part-time employees annually - paid ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

Adobe

Senior Data Science Engineer

San Jose, CA

$133K - $236K/yr

The Opportunity Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact ...

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All JobsFull Time Data Science Engineer Jobs

Full Time Data Science Engineer information

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$44.5K

$129.7K

$177.5K

How much do full time data science engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for full time data science engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Science Engineer vs Data Analyst?

AspectFull Time Data Science EngineerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; programming skills in Python, R; knowledge of machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentDeveloping models, algorithms, and deploying data solutions in tech or enterprise settingsInterpreting data, creating reports, and supporting decision-making in various industries
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and healthcare sectors

Full Time Data Science Engineers focus on building and deploying machine learning models and advanced data solutions, requiring programming and technical expertise. Data Analysts primarily interpret data, generate reports, and support business decisions with less emphasis on coding or model deployment. Both roles are essential but differ in technical depth and responsibilities.

More about Full Time Data Science Engineer jobs
What cities are hiring for Full Time Data Science Engineer jobs? Cities with the most Full Time Data Science Engineer job openings:
What are the most commonly searched types of Data Science Engineer jobs? The most popular types of Data Science Engineer jobs are:
What states have the most Full Time Data Science Engineer jobs? States with the most job openings for Full Time Data Science Engineer jobs include:
What job categories do people searching Full Time Data Science Engineer jobs look for? The top searched job categories for Full Time Data Science Engineer jobs are:
Full Time Data Science Engineer jobs near you
Infographic showing various Full Time Data Science Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Data Science Engineer

Tata Consultancy Service Limited

Woodland Hills, CA • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Must Have Technical/Functional Skill
• Advanced Python development for ML/AI workloads
• End-to-end ML lifecycle: model training, evaluation, fine-tuning, and labeling/tagging workflows
• Generative AI systems design, including LLM-based application development
• Prompt engineering optimization for large language models
• Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data
• Embedding generation pipelines for semantic search and retrieval
• Vector similarity search implementation using vector databases
• ML model integration with Vector DBs and MongoDB
• Production-grade ML engineering: scalable, maintainable, and deployment-ready code
Python, Large Language Models (LLMs) (via LLM-based applications), Vector Databases, MongoDB
Roles & Responsibilities
We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
Strong fit if the candidate:
• Has expert level Python skills
• Has hands on experience building ML/GenAI systems, not just theoretical knowledge
• Has worked on end to end ML pipelines (data model deployment)
• Has experience with document AI, embeddings, and vector search
• Thinks like an engineer (scalable, maintainable, production ready code)
Likely not a fit if the candidate is:
• Primarily a BI / reporting analyst
• Focused only on statistical modeling or academic research
• Lacking experience with deployment, pipelines, or GenAI systems
Key Responsibilities
• Develop and deploy machine learning and GenAI solutions using Python
• Design and optimize prompt engineering strategies for LLM-based applications
• Build document extraction, parsing, and chunking pipelines for structured and unstructured data
• Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
• Implement embedding generation and vector search solutions
• Integrate ML models with Vector DBs and MongoDB
• Ensure code quality, scalability, and production readiness
Salary Range: $140,000-$160,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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