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Remote Data Science Startup Jobs in Massachusetts

Jj

Manager, Data Science - Oncology

Cambridge, MA · On-site +1

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

Gradient AI

Data Engineering Manager

Boston, MA · On-site +1

$170K - $205K/yr

... fully remote opportunity. How you will make an impact: * Grow, build, and lead a world-class ... Work closely with data engineering, software engineering, and data science team members to create ...

OneStudyTeam

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

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Remote Data Science Startup information

What are some unique challenges of working as a data scientist at a remote startup, and how can I prepare for them?

Working as a data scientist at a remote startup often involves navigating ambiguous project requirements, rapidly shifting priorities, and a high degree of autonomy. You may find yourself balancing multiple roles, such as data engineering and analysis, especially when the team is small. Strong communication skills are essential for collaborating effectively across time zones and ensuring alignment with product and business goals. Preparing by developing self-management habits, proactively seeking feedback, and becoming comfortable with remote collaboration tools will help you thrive in this dynamic environment.

What is a Remote Data Science Startup?

A Remote Data Science Startup is a company focused on developing data-driven solutions, analytics, or products, with a team that primarily works remotely rather than from a central office. These startups leverage data science techniques such as machine learning, statistical analysis, and big data processing to solve business problems or create innovative products. Employees collaborate using digital tools and platforms, allowing for flexible work arrangements and access to a global talent pool. Remote data science startups often serve various industries, including healthcare, finance, e-commerce, and technology.

What are the key skills and qualifications needed to thrive at a remote data science startup, and why are they important?

To thrive at a remote data science startup, you need strong analytical skills, proficiency in statistics, and experience with programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, cloud platforms (e.g., AWS, GCP), and version control systems like Git is typically required. Exceptional self-motivation, communication, and collaboration skills are crucial to excel in a remote and fast-paced startup environment. These competencies enable you to deliver actionable insights, adapt to rapid changes, and collaborate effectively across distributed teams.
What are the most commonly searched types of Data Science Startup jobs in Massachusetts? The most popular types of Data Science Startup jobs in Massachusetts are:
What are popular job titles related to Remote Data Science Startup jobs in Massachusetts? For Remote Data Science Startup jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Startup jobs in Massachusetts look for? The top searched job categories for Remote Data Science Startup jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Data Science Startup jobs? Cities in Massachusetts with the most Remote Data Science Startup job openings:
Remote Data Science Startup jobs near you
Infographic showing various Remote Data Science Startup job openings in Massachusetts as of June 2026, with employment types broken down into 65% Full Time, and 35% Part Time. Highlights an 100% Remote job distribution.

Director, Data Science: Data Science Tools

Liberty Information Technology Limited

MA • On-site, Remote

$142K - $201K/yr

Full-time

Posted 3 days ago

Job description

Description
The Data Science Infrastructure organization within USRM is hiring a Senior Technical Professional, Data Scientist to join the Data Science Tools team. This role will focus on improving the end-to-end modeling workflow for USRM Data Science by building internal tools, pipelines, and applications that streamline model development, evaluation, deployment, and iteration. The ideal candidate is highly technical, proactive, and motivated by building systems that help other data scientists work more efficiently.
**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **
Responsibilities:
  • Design and build internal tools, pipelines, and applications that improve model development, evaluation, and deployment
  • Own strategy and roadmaps for improving data science workflows and tooling across USRM
  • Design, build, and maintain Python packages used across the organization
  • Evaluate and implement AI agent capabilities in tooling using approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks
  • Work with workflow and modeling tools such as Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, and LightGBM, as well as Python development tools such as Pydantic, FastAPI, uv, ruff, and pytest
  • Promote MLOps and AI agent best practices in collaboration with groups such as Enterprise Data & Data Science
  • Stay current on developments in open-source data science frameworks, MLOps, and agentic coding practices
  • Help shape the direction of the Tools team and contribute to a culture of ownership, collaboration, and continuous improvement

The ideal candidate will have:
  • Professional experience building and maintaining Python-based data science or Machine Learning tooling used by multiple end users or teams
  • Worked with any of the following in a professional setting: Git, Bash/shell scripting, uv, pre-commit, ruff, pytest, or Pydantic
  • Built, deployed, or maintained workflows or pipelines using any of the following: Airflow, Luigi, Celery, Databricks, or MLflow
  • Implemented or supported AI/LLM-based tooling using frameworks such as PydanticAI, LangChain, MCP, or RAG
  • Developed, reviewed, or maintained internal Python packages, APIs, or data science applications using tools such as FastAPI, Streamlit, Dash, NiceGUI, or Plotly
  • Applied agentic AI techniques in day-to-day development and incorporate AI capabilities directly into tools and applications where they create meaningful value for data scientists

Qualifications
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Ability to establish and build relationships within and outside the organization.
  • Ability to give effective training and presentations to management and other groups.
  • Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
  • Broad knowledge of business drivers and market context.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.

Employees may apply for a new role after completing 12 months of employment in their current position.
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
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