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Data Science Manager Jobs in Cambridge, MA (NOW HIRING)

Socket.dev

Principal Scientist Data Science

Cambridge, MA · On-site

$117 - $201/hr

... risk management. * Adapt large language models (LLMs) for tailored information extraction and to ... Data Science * Data Visualization * Digital Fluency * Econometric Models * Organizing * Process ...

Jj

Principal Scientist Data Science

Cambridge, MA

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... risk management. * Adapt large language models (LLMs) for tailored information extraction and to ...

Novartis

Director Oncology Data Science LMW

Cambridge, MA · On-site

$194K - $361K/yr

Excellent leadership and management skills, with 5+ years of people management experience in the data science space. * Experience with Quality Control (QC) and data analysis for common assays, such ...

Liberty Mutual

Director, Data Science

Boston, MA · On-site +1

$156K - $281K/yr

The Director II, Data Science is a frontline manager role reporting to the Specialty Senior Director and will be responsible for the following: Frontier Program Representation Liberty Mutual is ...

Liberty Mutual

Director, Data Science

Boston, MA · On-site +1

$156K - $281K/yr

The Director II, Data Science is a frontline manager role reporting to the Specialty Senior Director and will be responsible for the following: Frontier Program Representation Liberty Mutual is ...

Liberty Mutual

Director, Data Science

Boston, MA · On-site +1

The Director II, Data Science is a frontline manager role reporting to the Specialty Senior Director and will be responsible for the following: Frontier Program Representation Liberty Mutual is ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site

$126K/yr

Excellent planning, project management, leadership, and research skills * Experience communicating ... a data science team within the Quantitative Research and Investment Technology division in the ...

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Showing results 21-40

All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Cambridge, MA

Data Science Manager information

See Cambridge, MA salary details

$34.2K

$107K

$189.5K

How much do data science manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science manager in Cambridge, MA is $107,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $138,300.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Cambridge, MA?

The most popular types of Data Science jobs in Cambridge, MA are:

What are popular job titles related to Data Science Manager jobs in Cambridge, MA?

For Data Science Manager jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Manager jobs in Cambridge, MA look for?

The top searched job categories for Data Science Manager jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Data Science Manager jobs?

Cities near Cambridge, MA with the most Data Science Manager job openings:

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Cambridge, MA as of August 2026, with employment types broken down into 80% Full Time, 9% Part Time, and 11% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $107,025 per year, or $51.5 per hour.

Director I, Data Science, Enterprise Data & Data Science

Liberty Information Technology Limited

Boston, MA • On-site, Remote

$163K - $229K/yr

Full-time

Re-posted 14 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.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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