1

Data Science Project Manager Jobs in Massachusetts

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These ... Experience with and understanding of project management tools and principles * Ideal candidates ...

Responsibilities include leading data science projects related to digital biomarker discovery and ... manage experimental plans, analyze results, and report findings to leadership. - Produce data ...

... projects. * As a member of the Oncology Data Science Leadership team, contribute to Oncology Data Science overall direction and management, represent the low molecular weight portfolio as a function.

Demonstrate superior competence in managing team dynamics and organizational culture, with the ... projects Additional Responsibilities: * Performs other duties as assigned * Complies with all ...

Data Scientist

Boston, MA

$120K - $135K/yr

... managers, and business partners to turn data into actionable insights and deploy models into production. Responsibilities * Contribute to end-to-end data science projects that improve product ...

Define and implement project-specific in silico modelling and data strategies aligned with key ... Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data ...

Senior Data Science Engineer

Boston, MA

$115K - $156K/yr

Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to ... Partner with engineers, analysts, product managers, and marketers to translate insights into ...

New

next page

Showing results 1-20

Data Science Project Manager information

See Massachusetts salary details

$18

$62

$87

How much do data science project manager jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data science project manager in Massachusetts is $62.81, according to ZipRecruiter salary data. Most workers in this role earn between $54.33 and $73.51 per hour, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

What is a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
What are popular job titles related to Data Science Project Manager jobs in Massachusetts? For Data Science Project Manager jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Massachusetts look for? The top searched job categories for Data Science Project Manager jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Science Project Manager jobs? Cities in Massachusetts with the most Data Science Project Manager job openings:
Sr. Data Scientist

Sr. Data Scientist

Bose Corporation

Framingham, MA • On-site

$120K - $165K/yr

Full-time

Medical, Retirement

Re-posted 22 days ago


Job description

You know the moment. It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most.
At Bose, we believe sound is the most powerful force on earth. We've dedicated ourselves to improving it for more than 60 years. And we're passionate down to our bones about making whatever you're listening to a little more magical.
Job Description
ABOUT BOSE
You know the moment. It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most.
At Bose, we believe sound is the most powerful force on earth. And we've dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, "I can make this better," we've been relentlessly pushing forward to the next best thing.
Innovation is more than what we do. It's who we are - constantly learning and constantly curious. We never stop imagining what better sound sounds like. We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're passionate down to our bones about making whatever you're listening to a little more magical.
The Role:
At Bose, we aim to bring products into the world that people truly love, and we don't stop until the details are just right. Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the right customers, and allow us to astonish customers with carefully crafted and personalized experiences.
We are looking for Senior Data Scientist, ideally with a background in supply chain modeling and causal modeling, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges. Within this role you will focus on driving the strategy for and building the next generation of forecasting models. You will work with a cross-functional team of data scientists and partner with teams from across Bose to influence decisions that will drive a significant impact to our bottom-line and our customers.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
  • Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
  • Work cross-functionally with sales, product, marketing, and engineering on optimization opportunities and insights.
  • Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models, with a focus on supply chain and causal modeling.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Education:
  • MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field
  • Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science
  • Completed coursework related to Business/Management or Business/Customer Analytics

Skills:
  • 7+ years of experience applying data science, AI/machine learning, and analytics techniques to business problems
  • 2+ years of experience leading data science projects
  • Experience with machine learning, probabilistic forecasting, optimization and causal modeling techniques, with a focus in supply chain modeling.
  • Experience with experimental research methods (DOE, RCT, Quasi-experimental design)
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems
  • Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
  • Experience with and understanding of project management tools and principles
  • Ideal candidates will have experience with MMM as well.

At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in Framingham, Massachusetts is: $120,000-$165,000.In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.
Bose is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. The EEOC's "Know Your Rights: Workplace discrimination is illegal" Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf. Bose is committed to providing reasonable accommodations to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to applicant_disability_accommodationrequest@bose.com. Please include "Application Accommodation Request" in the subject of the email.
Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.