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Remote Full Stack Data Scientist Jobs (NOW HIRING)

Bluefish AI

Senior Data Scientist

New York, NY · On-site +1

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 ...

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

This role can be remote in some US states (See below for remote work requirements) or based in one ... You have proven ability as a full stack data scientist who develops, experiments, optimizes, and ...

Overstory

Engineering Manager, Full Stack & Data

Role & Team As an Engineering Manager, Full Stack & Data, you will lead across several cross-functional teams, managing up to ~10 full stack software engineers, data engineers, and GIS specialists.

Chewy

AD, Data Science

Bellevue, WA · On-site +1

$189K - $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 ...

Precise Systems

Remote: Full Stack Development Lead

$135K - $155K/yr

Physical Sciences Research; Platform Lifecycle Support; and Foreign Military Sales. Unified by ... We are currently expanding our team and are seeking a REMOTE Full Stack Development Lead to join ...

Precise Systems

Remote: Full Stack Developer, Senior

$120K - $145K/yr

... Physical Sciences Research, Platform Lifecycle Support, and Technical Services. Since our ... We are currently expanding our team and are seeking a REMOTE Full Stack Developer, Senior to join ...

Northbeam

Staff Data Scientist

We're a remote-friendly company with offices in San Francisco and Los Angeles. About the Data ... This is a full-stack data scientist role, operating across the entire lifecycle-from researching ...

DevOpsChat

Full Stack Engineer

Manhattan, NY · Remote

Overview Ubiminds is looking for a remote Full Stack Engineer to join their innovative team. As part of your role, you'll be tasked with developing and maintaining web applications while ...

ProDev

Full Stack React Developer

Strong communicator - being 100% remote, excellent communication is critical for what we do. * You ... Data Science fundamentals - handling large datasets, writing data tests, creating performant ...

DevOpsChat

Full Stack Engineer

Richmond, VA · Remote

Overview Ubiminds is looking for a remote Full Stack Engineer to join their innovative team. As part of your role, youll be tasked with developing and maintaining web applications while collaborating ...

Epitec

Senior Full Stack Engineer

$85/hr

Exposure to data quality, automation, data management, GenAI, data science, or machine learning ... Fully Remote * Pay Rate: $85/hr #INDPRO #LI-VV1

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

As of Jun 6, 2026, the average yearly pay for remote 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 Remote Full Stack Data Scientist?

A Remote Full Stack Data Scientist is a professional who works from any location to handle the end-to-end process of data science projects. This includes collecting and cleaning data, developing and training machine learning models, deploying solutions into production, and sometimes building user-facing applications. They are skilled in both back-end (data engineering, modeling) and front-end (visualization, application development) tasks. Remote Full Stack Data Scientists often collaborate with distributed teams using digital communication and project management tools. Their broad skill set allows them to manage the entire data pipeline and deliver actionable insights or products remotely.

How do Remote Full Stack Data Scientists typically collaborate with cross-functional teams in a virtual environment?

Remote Full Stack Data Scientists frequently work with product managers, engineers, and business analysts using collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, clear documentation, and version control systems (like Git) help ensure transparency and alignment across teams. Effective communication and proactive updates are essential to keep projects on track and to integrate data-driven insights into the broader product development process.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Data Scientist, and why are they important?

To thrive as a Remote Full Stack Data Scientist, you need a strong foundation in statistics, machine learning, data engineering, and programming languages like Python or R, usually supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, SQL databases, cloud platforms (AWS, Azure, GCP), and experience with version control systems like Git are typically required. Excellent problem-solving, communication, and self-motivation skills are crucial for collaborating remotely and translating complex data insights to stakeholders. These combined abilities ensure effective end-to-end data solutions, seamless remote teamwork, and impactful business outcomes.
More about Remote Full Stack Data Scientist jobs
What cities are hiring for Remote Full Stack Data Scientist jobs? Cities with the most Remote 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 Remote Full Stack Data Scientist jobs? States with the most job openings for Remote Full Stack Data Scientist jobs include:
What job categories do people searching Remote Full Stack Data Scientist jobs look for? The top searched job categories for Remote Full Stack Data Scientist jobs are:
Remote Full Stack Data Scientist jobs near you
Infographic showing various Remote Full Stack Data Scientist job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist

Bluefish AI

New York, NY • On-site, Remote

Full-time

Posted 19 days ago

Job description

About the Position:
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 who enjoys owning the entire data science lifecycle-from ideation to experimentation to deployment-and is motivated by driving tangible business and customer outcomes.
You will work autonomously and lead your own projects, collaborating across teams while providing your own technical direction. You should be excited to hypothesize and test ideas, set up your own experiments and pipelines, and ensure that every insight and model you deliver provides real value to both the customer and the business.
What You Will Be Doing:
  • Independently lead end-to-end data science projects: from problem definition and hypothesis generation to modeling, testing, and deployment.
  • Own your pipeline: design, build, and maintain scalable data workflows and ML systems without needing support from product and engineering teams.
  • Drive customer-focused experimentation: design A/B tests and other experiments with a clear focus on improving user experience and product outcomes.
  • Identify new opportunities for research and experimentation-bring forward your own ideas, test them quickly, and evaluate business impact.
  • Collaborate cross-functionally, especially with engineering, product, and design, while taking full ownership of your project's goals, execution, and delivery.
  • Translate data into strategy: craft clear, actionable insights that directly inform product development and company direction.
  • Stay hands-on with cutting-edge tools and models, particularly LLMs and generative AI, and integrate them into production systems when they solve real problems.

What you Bring:
  • 5+ years of experience in data science, with a track record of leading and delivering impactful, production-level projects.
  • Demonstrated ability to work independently: proactively identify problems, design solutions, and push projects forward with minimal oversight.
  • Strong experience with full-stack data science: data wrangling, modeling, validation, deployment, and monitoring.
  • Comfortable setting up your own experiments, pipelines, and direction while ensuring alignment with customer and business goals.
  • Experience working with LLMs or generative AI in real-world applications.
  • Proficient in Python, SQL, and ML frameworks (e.g., Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, spaCy/NLTK).
  • Deep understanding of experimentation techniques: A/B testing, causal inference, and how to interpret results in a business context.
  • Ability to balance scientific rigor with business pragmatism-understanding which experiments are worth running and which aren't.
  • Excellent communication skills and the ability to advocate for data-driven decisions across disciplines.
  • A mindset of ownership, resourcefulness, and continuous improvement.

About Bluefish:
Bluefish believes that AI represents the next major chapter of the internet - and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online - and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.
The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $20M Series A funding round led by NEA, with participation from Salesforce Ventures. Additional investors include Crane Venture Partners, Swift Ventures, and Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Berlin.
Why Bluefish & Our Values:
  • Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI
  • Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry
  • Join an experienced high-performing team where you will have immediate ownership and impact
  • Experience a true meritocracy with significant career growth upside as the business scales

Our Values:
  • Demonstrated grit and resourcefulness-you find creative solutions, adapt quickly, and aren't afraid to roll up your sleeves in a fast-paced, evolving environment.
  • Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
  • Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
  • Commitment to craftsmanship-you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
  • Self-starter with a proactive mindset and a strong sense of accountability-able to drive projects forward independently while staying aligned with team goals.
  • Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

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