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Senior Data Science Manager Jobs in Boston, MA (NOW HIRING)

Senior Data Science Engineer

Boston, MA · On-site

$115K - $156K/yr

The Crown Is Yours As a Senior Data Science Engineer, you'll join a high-impact team solving some ... Partner with engineers, analysts, product managers, and marketers to translate insights into ...

Senior Data Science Engineer

Boston, MA

$115K - $156K/yr

The Crown Is Yours As a Senior Data Science Engineer, you'll join a high-impact team solving some ... Partner with engineers, analysts, product managers, and marketers to translate insights into ...

Veridic Solutions is seeking a Sr. Data Scientist who will build scalable, re-usable data science products in collaboration with data engineers and software engineers. The role involves conducting ...

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

... and Data Science * Completed coursework related to Business/Management or Business/Customer ... to senior business stakeholders. * Experience with and understanding of project management tools ...

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

... and Data Science * Completed coursework related to Business/Management or Business/Customer ... to senior business stakeholders. * Experience with and understanding of project management tools ...

Senior Data Scientist

Boston, MA · On-site

$100 - $130/hr

Collaborate with senior data scientists to develop and improve our analytical platforms * Work ... Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ...

... management. This position will be primarily responsible for personal lines product such as ... As the SVP Data Scientist for Personal Lines (PRS), you will: * Collaborate with business partners ...

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

As the SVP Data Scientist for Personal Lines (PRS), you will: * Collaborate with business partners ... Proven track record managing competing priorities with multiple deliverables and deadlines

Senior Data Scientist

Boston, MA · On-site

$110 - $140/hr

Own and ship innovative customer‑facing data science and AI features across Tive's core roadmap ... Collaborate closely with product managers, platform engineers, and other stakeholders within a ...

Data Scientist

Boston, MA · On-site

$120K/yr

... science, analytics, machine learning, and AI to help improve customer experiences, products, and business operations. You will work closely with senior data scientists, engineers, product managers ...

Collaborate with senior data scientists to develop and improve our analytical platforms * Work ... Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ...

Collaborate with senior data scientists to develop and improve our analytical platforms * Work ... Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ...

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

... trial management. You'll work in a highly regulated healthcare data environment, ensuring ... Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations ...

Showing results 21-40

Senior Data Science Manager information

See Boston, MA salary details

$53.8K

$138.1K

$227.6K

How much do senior data science manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data science manager in Boston, MA is $138,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $161,900.00 per year, depending on experience, location, and employer.

How does a senior data science manager typically collaborate with cross-functional teams to drive business outcomes?

A Senior Data Science Manager often works closely with stakeholders from product, engineering, marketing, and business operations to align data-driven initiatives with organizational goals. They are responsible for translating complex analytical findings into actionable insights and ensuring that data science projects address real business needs. Effective collaboration requires strong communication skills, the ability to prioritize multiple projects, and fostering a culture of knowledge sharing across teams. By coordinating with various departments, Senior Data Science Managers help ensure that data-driven strategies lead to measurable business impact.

What does a senior data science manager do?

A Senior Data Science Manager leads a team of data scientists to develop analytical solutions that drive business decisions and strategy. They oversee the end-to-end process of data collection, model development, and deployment, ensuring projects align with organizational goals. Additionally, they mentor team members, collaborate with stakeholders across departments, and help set the vision for data-driven initiatives. Their role requires both technical expertise and strong leadership skills.

What are the key skills and qualifications needed to thrive as a senior data science manager, and why are they important?

To thrive as a Senior Data Science Manager, you need strong expertise in data analysis, statistical modeling, and machine learning, typically supported by an advanced degree in a quantitative field and significant experience leading data teams. Familiarity with tools such as Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization software is essential, along with knowledge of project management methodologies. Outstanding leadership, communication, and strategic thinking skills are crucial for aligning data initiatives with business goals and fostering team development. These abilities are vital for driving impactful analytics projects, delivering actionable insights, and ensuring the success of data-driven strategies within an organization.

What is the difference between Senior Data Science Manager vs Data Scientist?

AspectSenior Data Science ManagerData Scientist
CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles across industries

The main difference is that a Senior Data Science Manager oversees data teams and strategic initiatives, while a Data Scientist focuses on analyzing data and building models. The manager role involves leadership and project management, whereas the Data Scientist role is more technical and hands-on.

What cities near Boston, MA are hiring for Senior Data Science Manager jobs? Cities near Boston, MA with the most Senior Data Science Manager job openings:

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

Boston, MA • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

Who are we?

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Learn more about our unique culture and history.

Job Opportunity:

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business.

The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.

Duties & Responsibilities:

  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
  • Work with domain experts across teams and perils to enhance our use of available data.
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

Qualifications, Skills and Experience:

  • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
  • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
  • Advanced knowledge of probability theory, statistics, and machine learning methods is required
  • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
  • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
  • Strong written and verbal communication skills
  • Strong programming skills in Python (preferred), R, and SQL
  • Experience and understanding of relational and non-relational databases preferred
  • Comfort working within git-based version-control environments
  • Experience with Databricks or other cloud-based data and analytics platforms preferred
  • Highly motivated, detail oriented, and team player

BHSI Offers:

  • A competitive package and exciting growth opportunities for career-oriented teammates.
  • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
  • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  • Benefits that support your life and well-being, which include:
    • Comprehensive Health, Dental and Vision benefits
    • Disability Insurance (both short-term and long-term)
    • Life Insurance (for you and your family)
    • Accidental Death & Dismemberment Insurance (for you and your family)
    • Flexible Spending Accounts
    • Health Reimbursement Account
    • Employee Assistance Program
    • Retirement Savings 401(k) Plan with Company Match
    • Generous holiday and Paid Time Off
    • Tuition Reimbursement
    • Paid Parental Leave

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.