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Full Stack Data Scientist Jobs (NOW HIRING)

Bluefish is seeking a full-stack Senior Data Scientist who thrives in fast-paced environments and is passionate about building impactful, customer-centric AI solutions. This role is ideal for someone ...

Bluefish is seeking a full-stack Senior Data Scientist who thrives in fast-paced environments and is passionate about building impactful, customer-centric AI solutions. This role is ideal for someone ...

AD, Data Science

Bellevue, WA · On-site +1

$189.68K - $296K/yr

Operate as a full stack data scientist utilizing expertise in both machine learning and cloud technologies, while also growing and leading a team. * Lead data science projects through development ...

AD, Data Science

Bellevue, WA · On-site

$189.68K - $296K/yr

Operate as a full stack data scientist utilizing expertise in both machine learning and cloud technologies, while also growing and leading a team. * Lead data science projects through development ...

Full-Stack Data Science -- proven ability to own the complete lifecycle: problem definition, data wrangling, feature engineering, modeling, deployment, and monitoring in production environments

You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment. * You connect the how and why, using your knowledge of ...

Sr. Data Scientist

San Jose, CA · On-site

$158.55K - $218.10K/yr

Apply full-stack data science skills, including data extraction, exploratory and confirmatory analysis, modeling, and validation * Design and develop advanced ML or Agentic AI solutions, including ...

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Full Stack Data Scientist information

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$46K

$165K

$243.5K

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

As of May 29, 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.
What cities are hiring for Full Stack Data Scientist jobs? Cities with the most Full Stack Data Scientist job openings:
What are the most commonly searched types of Full Stack Data Scientist jobs? The most popular types of Full Stack Data Scientist jobs are:
What states have the most Full Stack Data Scientist jobs? States with the most job openings for Full Stack Data Scientist jobs include:
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.
Data Scientist 5, Experimentation Platform

Data Scientist 5, Experimentation Platform

Netflix

New York, NY

$372K - $600K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 27 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th of 64 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.


A culture of experimentation enables Netflix to continuously evolve and improve our products, delivering more joy to existing members and attracting new members from around the globe. Because experimentation is so pervasive at Netflix, we continually enable new capabilities and onboard new initiatives to the platform with close cross-functional collaboration with our Data Science partners.


At the nerve center of experimentation at Netflix is our internal, Netflix-wide, Experimentation Platform, responsible for democratizing trustworthy experiments across the company and enabling new capabilities across the company. 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.


Responsibilities:

  • Work closely with data science and engineering stakeholders to act as a strategic thought partner and onboard new workflows.

  • Design, build, operate, and maintain mathematics and engineering implementations of methodologies employed by the experimentation platform, as well as facilitating data science partner contributions.

  • Maintain existing inference related data and analysis pipelines, including compute clusters and API services.

  • Develop new tooling to meet emerging experimentation-related business needs.

  • Proactively work with the rest of the XP team (including other full-stack data scientists) to ensure that our platform continues to deliver trustworthy and useful analysis results.

Qualifications:

  • Advanced degree (PhD or Masters) in Computer Science, Statistics, Economics, Applied Mathematics, or related quantitative field

  • 3+ years experience with statistics / inference, ideally in an experimentation context.

  • 3+ years experience with data science languages, ideally including Python and SQL.

  • 3+ years building and operating applications serving internal or external production traffic

  • Ability to translate mathematical concepts into clean maintainable engineering code.

  • Curiosity to learn new statistics, methods, optimization techniques, etc.

  • Excellent communication and collaboration skills.

  • Able to bring clarity and life to ambiguous problems.


Curious to learn more about our experimentation culture at Netflix? Read up on experimentation culture at Netflix and browse the Netflix Research page.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.


What Netflix employees say

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Hours and flexibility

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997