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Data Science Manager Jobs in Massachusetts (NOW HIRING)

CookUnity

Director, Data Science/ML

Boston, MA · On-site

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

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 ...

New

Jj

Principal Scientist Data Science

Cambridge, MA · On-site

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 ...

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 ...

Td

Senior Manager, Data Science - FCRM Modeling

Boston, MA · On-site

$123K - $201K/yr

The Senior Manager, Data Science leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Massachusetts

Data Science Manager information

See Massachusetts salary details

$33.9K

$106.1K

$187.8K

How much do data science manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science manager in Massachusetts is $106,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $137,100.00 per year, depending on experience, location, and employer.

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 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 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 between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

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 are the most commonly searched types of Data Science jobs in Massachusetts?

The most popular types of Data Science jobs in Massachusetts are:

What are popular job titles related to Data Science Manager jobs in Massachusetts?

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

What job categories do people searching Data Science Manager jobs in Massachusetts look for?

The top searched job categories for Data Science Manager jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Science Manager jobs?

Cities in Massachusetts with the most Data Science Manager job openings:

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Massachusetts as of August 2026, with employment types broken down into 7% Internship, 80% Full Time, and 13% Contract. Highlights an 73% In-person, 7% Hybrid, and 20% Remote job distribution, with an average salary of $106,094 per year, or $51 per hour.

Director, Data Science/ML

CookUnity

Boston, MA • On-site

Full-time

Re-posted 23 days ago

Job description

About CookUnity:

Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you've found the right job posting.

The role:

We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale.

You'll own the strategic vision for how data science shapes our product roadmap. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution.

Responsibilities:Strategic Vision & Product Partnership
  • Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes
  • Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities
  • Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems
  • Translate complex product challenges into clear data science problems with measurable success criteria
  • Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration
  • Partner with the Growth Data Science & Analytics team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem.
Team Leadership & Development
  • Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems
  • Foster a culture of innovation, experimentation, and continuous learning within the data science organization
  • Create career development pathways that attract and retain top data science talent
  • Collaborate with Analytics Engineering to ensure seamless model deployment and monitoring
Advanced Analytics & ML Capabilities
  • Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey
  • Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning
  • Develop causal inference methodologies to understand true incrementality of product changes.
  • Ensure models are observable, explainable where needed, and continuously improved post-launch
Product Measurement & Impact
  • Define product success metrics and measurement frameworks that align with business objectives
  • Build scalable dashboards and monitoring systems that provide real-time visibility into product performance
  • Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization
Qualifications:
  • 10+ years of experience in data science, with at least 5 years in leadership roles managing data scientists or ML engineers
  • Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling
  • Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor
  • Strong product sense and business acumen—ability to identify high-impact opportunities and translate them into data science initiatives
  • Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical
  • Excellent communication skills—ability to explain complex technical concepts to non-technical stakeholders and influence product strategy
  • Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow)
  • Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)
Preferred requirements:
  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field
  • Experience with real-time ML systems and feature stores
  • Background in recommendation systems or two-tower/multi-modal embeddings
  • Familiarity with generative AI and LLM applications in product contexts
  • Experience building data science teams from scratch or through periods of rapid growth
  • Prior work in subscription businesses or retention-focused products
  • Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)
What Success Looks Like
  • 6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership
  • 12 months: Scaled the product data science function with key hires; delivered measurable improvements in personalization and customer engagement metrics; implemented robust experimentation frameworks used across product teams
Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect!

Benefits

???? Health Insurance coverage

???? 401k Plan

???? We grow, you grow: Stock Options Plan granted on Day 1

???? Eligible for a bi-annual performance bonus

⛱ Unlimited PTO

????️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

???? Paid Family leave

???? Compassionate Leave: 3-5 days each time the need arises

???? A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly

????????‍♀️ Wellness perks: access to fitness subsidies to build a healthy lifestyle

???? AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

????????‍???? Personalized Spanish coach

???? Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

CompensationAll final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.
Pay Range for this position
$240,000—$270,000 USD

If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time!

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

A quick note for all candidates
We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us:

  • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com
  • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page.
  • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.
  • We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away.

If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.