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Full Stack Data Scientist Jobs (NOW HIRING)

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

rockITdata

Full Stack Data Engineer

Arlington, VA · Remote

We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal ... Collaborate with cross-functional teams including data scientists, analysts, and business ...

Capgemini

Data Scientist

New York, NY · On-site

As a full-stack data scientist, you will turn complex operational signals into insight-and translate that insight into lightweight products, prototypes, and tools that reshape service delivery at ...

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

... as a full-stack data scientist who develops, optimizes, and scales models for the production environment • You connect the how and why using your knowledge of data science theories and ...

Snowflake

Senior Data Scientist - Product

Menlo Park, CA · On-site

$168K - $220.50K/yr

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake's most critical initiatives. In this role, you will work closely with our ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and ...

Netflix

OR · On-site

$372K - $600K/yr

We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

Netflix

Data Scientist 5, Experimentation Platform

$372K - $600K/yr

We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

Netflix

OR

$372K - $600K/yr

We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

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Full Stack Data Scientist information

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$165K

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How much do full stack data scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for full stack data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Full Stack Data Scientist job?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What are the key skills and qualifications needed to thrive in the Full Stack Data Scientist position, and why are they important?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What kind of projects do Full Stack Data Scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.
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What cities are hiring for Full Stack Data Scientist jobs? Cities with the most Full Stack Data Scientist job openings:
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What job categories do people searching Full Stack Data Scientist jobs look for? The top searched job categories for Full Stack Data Scientist jobs are:
Full Stack Data Scientist jobs near you
Infographic showing various Full Stack Data Scientist job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 28% Full Time, 68% Part Time, 2% Temporary, and 1% Nights. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Full-Stack Data Engineer

Full-Stack Data Engineer

MOTOR Information Systems

Troy, MI • On-site

Full-time

Posted 14 days ago

Job description

Job Description
FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS
MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR's primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.
We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform.
This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data. Hearst/MOTOR Information Systems will be the best and last place you'll ever work!
Required Experience (Must Have)
  • Expert Python Developer
  • Strong SQL Developer
  • Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)
  • Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)
  • Strong Automation Experience
  • Experience with Databricks (Delta Lake, Notebooks, SQL Analytics)
  • Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)
  • Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)
  • Experience with Git and Azure DevOps
  • Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)
  • Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)

Helpful Experience (Nice to Have)
  • Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases
  • Experience with Automotive Data / Industry
  • Experience with Agile / Scrum

Primary Responsibilities
  • Analyze large, and complex, data sets
  • Design, develop and coordinate the generation of Data Pipelines
  • Work collaboratively with team to plan and solve complex problems
  • Design for, or optimize existing pipelines, for performance and cost

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