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Data Scientist Project Manager Jobs in Boston, MA

Pwc

AIT - AI Data Scientist Manager

Boston, MA · On-site

$99K - $297K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role at PwC, you will take ownership of projects, confirming their successful planning ... data science projects - Managing project timelines and deliverables to align with client ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... 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 ...

Bose Corporation, U.S.A

Sr. Data Scientist

Framingham, MA · On-site

$120 - $165/hr

  • Medical

  • Retirement

We are looking for a Senior Data Scientist with a background in supply‑chain modeling and causal ... Experience with and understanding of project management tools and principles. * Ideal candidates ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA

$120K - $135K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... 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 ...

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

  • Medical

  • Retirement

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 ...

Boseallaboutme

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

  • Medical

  • Retirement

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 ...

Lprs

Senior Data Scientist

Boston, MA · On-site

$130 - $175/hr

Formulating, suggesting, and managing data-driven projects which are geared at furthering the ... Delegating tasks to Junior Data Scientists in order to realize the successful completion of ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Socket.dev

Data Scientist

Boston, MA · On-site

$73.50 - $136.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities * Assist with and execute data science projects, working with product, engineering and/or customer service teams to identify requirements, perform analysis, and present results and ...

Bridge Tech

Data Scientist Opportunity

Boston, MA · On-site

The Data Science team is responsible for managing all data analytics, reporting and algorithmic ... and manage work to critical project timelines in a fast-paced environment and the ability to ...

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All JobsData Scientist Project JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in Boston, MA

Data Scientist Project Manager information

See Boston, MA salary details

$50K

$179.3K

$264.5K

How much do data scientist project manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data scientist project manager in Boston, MA is $179,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,000.00 and $184,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a data scientist project manager?

A data scientist can become a data scientist project manager by developing leadership, communication, and project management skills, often through experience and certifications like PMP or Agile. Transitioning typically involves gaining experience in managing projects and teams while maintaining technical expertise in data analysis and modeling.

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

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.
What are popular job titles related to Data Scientist Project Manager jobs in Boston, MA? For Data Scientist Project Manager jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Project Manager jobs in Boston, MA look for? The top searched job categories for Data Scientist Project Manager jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Scientist Project Manager jobs? Cities near Boston, MA with the most Data Scientist Project Manager job openings:
Data Scientist Project Manager jobs near you
Infographic showing various Data Scientist Project Manager job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $179,276 per year, or $86.2 per hour.

AIT - AI Data Scientist Manager

Pwc

Boston, MA • On-site

$99K - $297K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics Engineering practice, focusing on transforming raw data into actionable insights that drive business growth. You will leverage advanced analytics and statistical techniques to extract insights from large datasets, enabling informed decision-making and solving complex business problems. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring your team to deliver quality results. You will be responsible for coaching and managing performance to meet client expectations, while embracing technology and innovation to improve delivery.
In this role at PwC, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will analyze and identify the interactions within complex systems, partnering with team leadership to maintain quality and timelines. Your growing business knowledge will help identify opportunities that contribute to the firm's success. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully. This position offers a chance to develop skills outside your comfort zone and encourage others to do the same, fostering a culture of continuous improvement and innovation.
Responsibilities
- Leading data science initiatives to transform raw data into actionable insights for informed decision-making
- Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
- Developing and implementing data models and algorithms to enhance predictive capabilities
- Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing
- Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven strategies
- Collaborating with stakeholders to identify opportunities for leveraging data to drive business growth
- Coaching team members to enhance their skills in data science workflows and troubleshooting
- Validating data quality and integrity within analytics frameworks to support reliable insights
- Encouraging the adoption of innovative technologies and methodologies in data science projects
- Managing project timelines and deliverables to align with client expectations and business objectives
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

- Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
- Utilizing Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Managing data pipelines and confirming data quality
- Leveraging programming languages for data engineering tasks
- Embracing change and fostering innovation in data science projects

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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