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Data Science Engineer Jobs in Massachusetts (NOW HIRING)

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... data 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 ...

Lead Data Scientist (TS/SCI)

Cambridge, MA · On-site

$90K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field * 7+ years of experience in Data Science, Artificial Intelligence ...

Lead Data Scientist (TS/SCI)

Cambridge, MA · On-site

$90K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field * 7+ years of experience in Data Science, Artificial Intelligence ...

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Advanced degree in life sciences or quantitative discipline (e.g., data science, computational biology, pharmacometrics, bioinformatics, computational chemistry, biomedical engineering or related ...

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Strong programming skills, particularly in Python * Extensive experience in multi-modal ...

Bayesian Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

D in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field * 5+ years of experience in Data Science or Analysis

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Bayesian Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

D in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field * 5+ years of experience in Data Science or Analysis

Associate Director, CMC Data Science

Framingham, MA · On-site

$160K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Identify data flow issues working with end customers to understand needs and deliver short term and long-term solutions to help scientist/engineers/managers complete their deliverables in an agile ...

Director, Data Science

Boston, MA · On-site

$126K/yr

  • Medical

  • Retirement

  • PTO

Deep expertise in Python, data-centric ML techniques including engineering principles for building ... science team within the Quantitative Research and Investment Technology division in the Asset ...

Head of Applied AI & Data Science

Cambridge, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Additionally, this position champions the Data Science & AI Center of Excellence, mentors a team of data scientists, data engineers, and AI engineers, and drives the adoption of new tools and ...

Showing results 41-60

Data Science Engineer information

See Massachusetts salary details

$48.6K

$141.7K

$193.9K

How much do data science engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science engineer in Massachusetts is $141,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,200.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

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

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

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

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

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

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

Infographic showing various Data Science Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $141,666 per year, or $68.1 per hour.

Principal Scientist, Data Science - Digital Media

Johnson & Johnson

Cambridge, MA

Full-time

Retirement, PTO

Re-posted yesterday


Johnson & Johnson rating

8.3

Company rating: 8.3 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical


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:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Johnson & Johnson Innovative Medicine R&D Data Science is recruiting for a Principal Scientist, Data Science

The primary location for this position is flexible - Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. 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 Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

This role will serve as a strategic leader and subject-matter expert, defining the vision and execution strategy for data products within Medical Imaging and Digital Media. The role is responsible for advancing next-generation, data-driven capabilities that enable scalable insights and innovation across therapeutic and disease areas.

The position will lead critical workstreams in partnership with therapeutic and disease area teams, unlocking value through the integration of advanced data, technology, and domain expertise. The role will also reimagine existing processes, challenge the status quo, and drive modernization of imaging data ecosystems to improve efficiency and impact.

A strong foundation in medical imaging is essential, with the ability to translate complex, multi-modal imaging data into actionable data products and clinically relevant insights.

Responsibilities Include
  • Define Data Product Vision: Articulate an end-to-end strategy for imaging data products, spanning ingestion, curation, integration, and consumption.

  • Drive Data Product Delivery: Lead development and scaling of medical imaging data products aligned to clinical trial and therapeutic needs.

  • Enable Data Standards & Governance: Promote adoption of FAIR data principles and ensure compliance with regulatory, privacy, and ethical standards.

  • Partner with Domain Leaders: Collaborate with therapeutic and disease area teams to translate business needs into scalable data product solutions.

  • Lead Cross-functional Execution: Work across data science, engineering, clinical, and external partners (CROs/vendors) to deliver impactful outcomes.

  • Modernize Imaging Ecosystems: Drive transformation of imaging pipelines, platforms, and workflows to improve operational efficiency and scalability.

  • Expand Data Product Portfolio: Support strategic growth of imaging-focused data capabilities aligned to clinical development priorities.

Education
  • Master's degree required; PhD or equivalent preferred

  • Advanced degree in Imaging Health Sciences or related field

  • Background in Radiology, Diagnostic Imaging, Interventional Medicine, Medical Physics, or similar

Experience & Skills
  • 10+ years of experience in medical imaging and multi-modal data environments

  • Strong experience building and scaling data products or data platforms

  • Demonstrated leadership in cross-functional and vendor collaborations

  • Hands-on expertise in imaging data standards (e.g., DICOM), PACS, and multi-modal data pipelines

  • Familiarity with advanced analytics and AI/ML (e.g., computer vision) in imaging contexts

  • Ability to translate complex imaging data into business and clinical value

  • Strong stakeholder engagement across clinical trial teams, data stewards, and technology partners

  • Demonstrated credibility as a subject-matter expert in imaging (research, publications, or equivalent experience is a plus)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

#LI-GR

#LI-Hybrid

#JRDDS

#JNJDataScience

#JRD

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:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
The following link to general company benefits information MUST also be included in the posting: Please use the following language:
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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