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Work From Home Data Science Jobs in Boston, MA (NOW HIRING)

Sales Representative Work From Home Must be authorized to work in the US, no work visas offered at this time Organization Description: We are currently seeking highly motivated individuals, with a ...

Director, Data Science

Boston, MA ยท On-site +1

$156K - $281K/yr

Tell the story: communicate complex technical work clearly to senior leaders and cross-functional partners * Manage, coach, and develop a team of 3-5 data scientists Ideal Candidate * You're ...

New

Director, Data Science

Boston, MA ยท On-site +1

$156K - $281K/yr

Tell the story: communicate complex technical work clearly to senior leaders and cross-functional partners * Manage, coach, and develop a team of 3-5 data scientists Ideal Candidate * You're ...

New

Tell the story: communicate complex technical work clearly to senior leaders and cross-functional partners * Manage, coach, and develop a team of 3-5 data scientists Ideal Candidate * You're ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

Showing results 21-40

Work From Home Data Science information

See Boston, MA salary details

$8

$31

$73

How much do work from home data science jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for work from home data science in Boston, MA is $31.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.79 and $38.60 per hour, depending on experience, location, and employer.

What is a work from home data science job?

A work from home data science job involves analyzing and interpreting complex data to help organizations make informed decisions, all while working remotely. Data scientists in these roles use programming, statistical analysis, and machine learning techniques to extract insights from large datasets. Typical responsibilities include data cleaning, model building, and presenting findings to stakeholders. Remote data science positions offer flexibility, allowing professionals to collaborate virtually with team members and access data securely from any location.

What are the key skills and qualifications needed to thrive as a work from home data scientist, and why are they important?

To thrive as a Work From Home Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of machine learning frameworks are typically required. Excellent communication, self-motivation, and effective time management are vital soft skills for collaborating remotely and meeting project deadlines. These skills and qualities are essential to deliver actionable insights, build predictive models, and succeed in a remote, independent work environment.

What are some common challenges faced by work-from-home data scientists, and how can they overcome them?

Work-from-home data scientists often encounter challenges such as limited face-to-face collaboration, managing large datasets remotely, and maintaining clear communication with cross-functional teams. To overcome these, it's important to leverage collaborative tools (like Slack, Zoom, and version control platforms), establish regular check-ins, and document your work thoroughly. Building a structured daily routine and setting clear goals can also help maintain productivity and ensure alignment with team objectives.

What is the difference between Work From Home Data Science vs Data Analyst?

AspectWork From Home Data ScienceData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; some roles may require programming knowledge
Work EnvironmentRemote, flexible hours, often collaborative via online toolsRemote or on-site, depending on employer; similar remote options increasing
Employer & Industry UsageTech companies, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Work From Home Data Science roles focus on building models, machine learning, and advanced analytics, requiring programming skills. Data Analysts interpret data, generate reports, and support decision-making. Both roles can be remote, but Data Science often involves more technical expertise and complex data handling.

Is it possible to work from home as a data scientist?

Yes, data scientists can often work from home, especially with the increasing use of remote collaboration tools and cloud-based data platforms. Many companies offer remote or hybrid positions that require strong skills in programming, data analysis, and communication. However, some roles may require on-site presence for team collaboration or access to specific hardware or data.

What are popular job titles related to Work From Home Data Science jobs in Boston, MA?

For Work From Home Data Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Work From Home Data Science jobs in Boston, MA look for?

The top searched job categories for Work From Home Data Science jobs in Boston, MA are:

What cities near Boston, MA are hiring for Work From Home Data Science jobs?

Cities near Boston, MA with the most Work From Home Data Science job openings:

Infographic showing various Work From Home Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $65,533 per year, or $31.5 per hour.

Director I, Data Science, Enterprise Data & Data Science

Liberty Information Technology Limited

Boston, MA โ€ข On-site, Remote

$163K - $229K/yr

Full-time

Re-posted 13 days ago


Job description

Description
We're seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this role, you'll identify, evaluate, and develop solutions at the intersection of data science, generative AI, and enterprise data strategy-including GenAI evaluation frameworks and semantic data layers. You'll also serve as a community champion, driving the adoption of best practices across a large, collaborative data science organization.
Responsibilities:
  • Design, build, and evaluate generative AI solutions and agentic systems
  • Develop and maintain data semantic layers and knowledge graphs for enterprise-scale data accessibility
  • Build evaluation frameworks and tools to assess GenAI systems' performance, reliability, and safety
  • Collaborate with other data scientists, machine learning engineers, data engineers, and business partners
  • Champion best practices and tooling across a broad data science community
  • Lead cross-functional working groups and contribute to innovation in AI/ML methods
  • Communicate complex technical findings clearly to non-technical stakeholders
  • Serve as a technical consultant on complex, high-impact projects
  • Please note this is an individual contributor role

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.

Preferred Experience:
  • Strong foundation in data science and machine learning
  • Proven MLOps expertise across the complete data science lifecycle
  • Experience building GenAI solutions and agentic systems
  • Familiarity with GenAI evaluation methodologies
  • Experience with data semantic layers and/or knowledge graphs
  • Track record of cross-functional collaboration in a large enterprise environment
  • Ability to work ET hours

Employees may apply for a new role after completing 12 months of employment in their current position.
Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines. For country-specific details, please consult your local recruiting / HR team.
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://www.libertymutualgroup.com/about-lm/careers/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.
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