Data Science Manager Jobs in Massachusetts
Data Science Manager jobs in Massachusetts are among the most active in the country, with strong demand concentrated in life sciences, financial services, and technology across seniority levels from lead analyst to director-level manager. Boston, Cambridge, and Waltham are the primary hiring hubs, anchored by employers such as Biogen, Fidelity Investments, and MathWorks. The most sought-after specialties in Massachusetts are machine learning engineering, clinical data strategy, and financial modeling. Find a role that fits below and apply directly.
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Showing 5 of 27+ Data Science Manager jobs
Employment Type: Full-time
Location: USA / Waltham, MA area preferred
Salary Range: $210,000 to $250,000 yearly
Team: Data & AI
Company Overview
Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we are accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets.
Driven by innovation and guided by our core values — Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity — Nova creates solutions that make a global impact. At Nova, candidates will find opportunities to grow, contribute, and help build a culture focused on transparency, sustainability, effective communication, and employee engagement.
Job Summary
The Sr Manager, Data Science & Analytics will lead Nova's data analytics and data science capability. The successful candidate will have a strong data science background first, while also showing the ability to grow and oversee data analytics and reporting. This role is fundamentally responsible for two areas: helping build trusted enterprise insights (data analytics) while also advancing predictive and prescriptive methods and core machine learning models/algorithms (data science) to enable the business, improve customer experience, generate product insights, and expand product performance via models deployed within or external to the product.
Why This Role Matters
Lead a high-impact data science function at the center of Nova's digital, data, and AI transformation.
Create trusted analytics and modeling capabilities that can influence decisions across the enterprise.
Build the bridge between immediate insight needs and a modern, scalable data foundation.
Create the foundation for data science capabilities that will directly support product innovation.
Responsibilities
Enterprise role and technical expert leading data science and analytics across priority business domains (workforce, customer, and product)
Build and manage a roadmap for trusted reporting, self-service analytics, data science, and advanced analytics use cases.
Manage internal employees and external consultants, including data scientists, analysts, and report developers.
Establish standards for analytical methods, dashboard design, metric definitions, model validation, documentation, and insight delivery.
Partner with business leaders to identify high-value opportunities and convert ambiguous questions into prioritized analytical work.
Oversee forecasting, classification, optimization, anomaly detection, statistical analysis, experimentation, and model validation efforts.
Ensure analytics outputs align with governance, data quality, regulatory, and source-of-truth expectations.
Qualifications
Master’s degree in data science, statistics, analytics, engineering, computer science, business analytics, or a related field; PhD preferred.
Significant (10+ yrs) experience in analytics, BI, data science, applied machine learning, and enterprise insight delivery.
Experience managing technical analytics teams, consultants, or cross-functional analytical programs.
Strong knowledge of statistical analysis, data visualization, forecasting, model validation, business performance measurement, and dashboarding.
Familiarity with modern data platforms, governed semantic/data models, and enterprise reporting environments.
Strong executive communication, stakeholder management, and prioritization skills.
Preferred Experience
Experience in medical device, diagnostics, life sciences, regulated manufacturing, or healthcare environments.
Experience harmonizing analytics across ERP, CRM, data lake/lakehouse, IoT device data, complaints and field data.
Experience building analytics operating models, metric registries, or self-service analytics programs.
What Success Looks Like
Analytics and data science work is prioritized around measurable business impact.
Reporting trust improves through clearer definitions, governance, documentation, and adoption.
Data science use cases generate practical recommendations, measurable value, and reusable methods.
Benefits and Growth
Nova offers competitive benefits designed to support employee health, financial security, work-life balance, and professional growth. Benefits vary by country and employment type; full-time employees can generally expect comprehensive health coverage, retirement savings options, paid time off, wellness initiatives, and resources for development.
Employment Type: Full-time
Location: USA / Waltham, MA area preferred
Salary Range: $210,000 to $250,000 yearly
Team: Data & AI
Company Overview
Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we are accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets.
Driven by innovation and guided by our core values — Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity — Nova creates solutions that make a global impact. At Nova, candidates will find opportunities to grow, contribute, and help build a culture focused on transparency, sustainability, effective communication, and employee engagement.
Job Summary
The Sr Manager, Data Science & Analytics will lead Nova's data analytics and data science capability. The successful candidate will have a strong data science background first, while also showing the ability to grow and oversee data analytics and reporting. This role is fundamentally responsible for two areas: helping build trusted enterprise insights (data analytics) while also advancing predictive and prescriptive methods and core machine learning models/algorithms (data science) to enable the business, improve customer experience, generate product insights, and expand product performance via models deployed within or external to the product.
Why This Role Matters
Lead a high-impact data science function at the center of Nova's digital, data, and AI transformation.
Create trusted analytics and modeling capabilities that can influence decisions across the enterprise.
Build the bridge between immediate insight needs and a modern, scalable data foundation.
Create the foundation for data science capabilities that will directly support product innovation.
Responsibilities
Enterprise role and technical expert leading data science and analytics across priority business domains (workforce, customer, and product)
Build and manage a roadmap for trusted reporting, self-service analytics, data science, and advanced analytics use cases.
Manage internal employees and external consultants, including data scientists, analysts, and report developers.
Establish standards for analytical methods, dashboard design, metric definitions, model validation, documentation, and insight delivery.
Partner with business leaders to identify high-value opportunities and convert ambiguous questions into prioritized analytical work.
Oversee forecasting, classification, optimization, anomaly detection, statistical analysis, experimentation, and model validation efforts.
Ensure analytics outputs align with governance, data quality, regulatory, and source-of-truth expectations.
Qualifications
Master’s degree in data science, statistics, analytics, engineering, computer science, business analytics, or a related field; PhD preferred.
Significant (10+ yrs) experience in analytics, BI, data science, applied machine learning, and enterprise insight delivery.
Experience managing technical analytics teams, consultants, or cross-functional analytical programs.
Strong knowledge of statistical analysis, data visualization, forecasting, model validation, business performance measurement, and dashboarding.
Familiarity with modern data platforms, governed semantic/data models, and enterprise reporting environments.
Strong executive communication, stakeholder management, and prioritization skills.
Preferred Experience
Experience in medical device, diagnostics, life sciences, regulated manufacturing, or healthcare environments.
Experience harmonizing analytics across ERP, CRM, data lake/lakehouse, IoT device data, complaints and field data.
Experience building analytics operating models, metric registries, or self-service analytics programs.
What Success Looks Like
Analytics and data science work is prioritized around measurable business impact.
Reporting trust improves through clearer definitions, governance, documentation, and adoption.
Data science use cases generate practical recommendations, measurable value, and reusable methods.
Benefits and Growth
Nova offers competitive benefits designed to support employee health, financial security, work-life balance, and professional growth. Benefits vary by country and employment type; full-time employees can generally expect comprehensive health coverage, retirement savings options, paid time off, wellness initiatives, and resources for development.
See All 27 Data Science Manager Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Data Science Manager JobsData Science Manager Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Data Science Manager Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Medical Devices
- Technology & Software
- Biotechnology & Pharmaceuticals
What Massachusetts Employers Look For
The qualifications that appear most often in data science manager jobs across Massachusetts.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Five or more years of hands-on data science experience with at least two years managing a team
- Proficiency in Python, R, and SQL with demonstrated experience deploying machine learning models in production
- Ability to translate complex analytical findings into clear recommendations for non-technical business stakeholders
- Experience partnering with engineering and product teams in agile or cross-functional environments
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud in an enterprise setting
Data Science Manager Jobs in Massachusetts: Frequently Asked Questions
How do you become a data science manager in Massachusetts?
There is no state-issued license required to work as a data science manager in Massachusetts. Most employers expect a bachelor's degree in a quantitative field, with a master's degree strongly preferred, especially in the life sciences and financial sectors dominant in the state. Candidates typically build several years of hands-on data science work before stepping into management, and earning credentials such as a Certified Analytics Professional designation helps candidates stand out in Massachusetts's competitive market.
Which companies hire data science managers in Massachusetts?
Employers hiring data science managers in Massachusetts right now include Collegium Pharmaceutical, XPO, and Novartis, based on current listings on Migrate Mate as of September 2026. Massachusetts's dense concentration of biotech, insurance, and asset management firms means data science manager openings here skew heavily toward regulated industries with large proprietary datasets.
Which Massachusetts cities have the most data science manager jobs?
Boston, Cambridge, and Waltham have the most data science manager openings in Massachusetts. Boston and Cambridge dominate because of the area's university research ecosystem and headquarters presence of major life sciences and financial firms, while Waltham and Burlington attract openings from technology companies that cluster along the Route 128 corridor outside the city.
Are there remote data science manager jobs in Massachusetts?
Yes, and more than most fields. About 50% of data science manager openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting the desk-based, analytical nature of the work. Individual contributor and cross-functional project work tends to be most remote-friendly, while roles requiring direct oversight of on-site data infrastructure or regulated clinical data environments are more likely to require regular in-person presence.
How can I get hired as a data science manager in Massachusetts with little or no experience?
The most realistic entry path is moving into management from a senior individual contributor role, typically data scientist or machine learning engineer, at a Massachusetts employer rather than applying to manager roles directly. Large life sciences companies in the Cambridge and Waltham corridor, including biotech and pharmaceutical firms, run structured rotational data science programs and new-graduate cohort tracks that build toward leadership. Building a portfolio of end-to-end projects, contributing to open-source tools, and earning a master's degree from one of Massachusetts's research universities strengthens a candidacy significantly.
Where can I find and apply to data science manager jobs in Massachusetts?
You can find and apply to data science manager jobs in Massachusetts on Migrate Mate, which lists current openings across the state. Search the listings for roles that match your experience level and industry focus, then apply directly to the ones that fit.
See All 27 Data Science Manager Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Data Science Manager Jobs