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Data Science Manager Jobs in Canton, 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 · 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 ...

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 ...

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 ...

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 ...

ShiftCode Analytics, Inc.

Data Science Engineer

Boston, MA · On-site

$124K - $149K/yr

ShiftCode Analytics, Inc. is seeking a talented Data Science Engineer to join their team and ... and manage Docker images for containerized deployment of machine learning models, ensuring ...

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Data Science Manager information

See Canton, MA salary details

$32.8K

$102.7K

$181.9K

How much do data science manager jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data science manager in Canton, MA is $102,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $132,700.00 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 Canton, MA?

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

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

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

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Canton, MA as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $102,721 per year, or $49.4 per hour.

Principal Scientist Data Science

Cambridge, MA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$117 - $201/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Barcelona, Spain, Cambridge, Massachusetts, United States of America, Hyderabad, Andhra Pradesh, India, Madrid, Spain, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

J&J Innovative Medicine – Data, Data Science, and AI - Global Development (DDSAI GD) is recruiting a Principal Scientist. The ideal candidate will leverage, adapt, and extend machine learning (ML), optimization techniques, and GenAI techniques to create computational pipelines supporting global clinical operations including enrollment forecasting, cost estimation and optimization, and country/site selection.

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, neuroscience, and infectious disease. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about J&J Innovative Medicine, visit https://www.jnj.com/innovative-medicine

Key responsibilities:
  • Conceive, develop, and implement ML, multi-objective optimization, GenAI solutions to support clinical trial operations.
  • Leverage operational, RWD, and cost data to build ML predictive models and optimization engines to 1) predict outcomes of interest, 2) highlight tradeoffs between competing objectives, 3) recommend optimal operational scenarios, and 4) generate actionable insights, enabling early intervention and risk management.
  • Adapt large language models (LLMs) for tailored information extraction and to create solutions including
    • conducting comparative analytics on clinical trial protocols and trial similarity assessment,
    • clinical trial data harmonization and standardization,
    • schedule of activity optimization, and
    • eligibility criteria evaluation,
  • Stochastic enrollment simulations to forecast operational and patient journey outcomes including enrollment and study completion.
  • Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.
  • Coaches and trains junior colleagues in techniques, processes, and responsibilities.
Required qualifications:
  • A Ph.D. degree in a quantitative discipline (e.g., computer science, electrical and computer engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or similar),
  • 5+ years of industry experience delivering on data science projects using ML predictive modeling, multi-objective optimization, natural language processing, and GenAI.
  • Hands-on experience with multi-modal ML predictive modeling and stochastic simulations for time-series forecasting.
  • Experience building multi-objective optimization engines to navigate complex trade-offs using evolutionary algorithms, reinforcement learning, or mixed-integer linear programming.
  • Experience with GenAI and clinical LLMs for document parsing and clinical concept disambiguation and harmonization.
  • Proficient in MLOps practices and tools (MLflow, Kedro); Git usage, CI/CD stacks (Jenkins, GitLab) DevOps tools.
  • Proficiency with programming languages Python and SQL,
  • Experience with python LLM tools (e.g., DSPy, LangChain), optimization tools (e.g., pymoo) and ML tools (e.g., Scikit-learn, XGBoost, Optuna, PyMc),
  • Demonstrated experience and familiarity with clinical operational data, real world data, electronic health records and claims, and financial data.
Preferred qualifications:
  • Prior experience in a data science AI/ML role in healthcare, MedTech, and pharmaceutical industries.
  • Hand-on experience utilizing clinical trial protocols, registry, cost data, CTMS, EDC and/or EHR to build ML models for estimating operational outcomes or RWE outcomes.
Required Skills: Preferred Skills:
  • Advanced Analytics
  • Coaching
  • Critical Thinking
  • Data Analysis
  • Data Privacy Standards
  • Data Quality
  • Data Reporting
  • Data Savvy
  • Data Science
  • Data Visualization
  • Digital Fluency
  • Econometric Models
  • Organizing
  • Process Improvements
  • Strategic Thinking
  • Technical Credibility
  • Workflow Analysis
The anticipated base pay range for this position is :

$117,000.00 - $201,250.00

Additional Description for Pay Transparency:
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