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Data Science Project Manager Jobs in Woonsocket, RI

Compass

Lead Data Scientist

Boston, MA · On-site

$175K - $195K/yr

... science projects. * Deep expertise in key data science domains (e.g., time-series forecasting, deep learning, causal inference). * Extensive practical experience architecting solutions using a broad ...

Compass

Lead Data Scientist

Boston, MA · On-site

$175K - $195K/yr

... science projects. * Deep expertise in key data science domains (e.g., time-series forecasting, deep learning, causal inference). * Extensive practical experience architecting solutions using a broad ...

NxT Level

Lead Engineer, MLOps

Boston, MA · On-site

$111K - $146K/yr

Technical Lead Manager, Machine Learning Operations Location: United States Employment Type ... Help ensure data science projects are production-ready from day one * Build templates, patterns ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Woonsocket, RI

Data Science Project Manager information

See Woonsocket, RI salary details

$16

$55

$76

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

As of Sep 2, 2026, the average hourly pay for data science project manager in Woonsocket, RI is $55.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $64.52 per hour, depending on experience, location, and employer.

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.

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 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.

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 job categories do people searching Data Science Project Manager jobs in Woonsocket, RI look for?

The top searched job categories for Data Science Project Manager jobs in Woonsocket, RI are:

What cities near Woonsocket, RI are hiring for Data Science Project Manager jobs?

Cities near Woonsocket, RI with the most Data Science Project Manager job openings:

Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Woonsocket, RI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,620 per year, or $55.1 per hour.

Lead Data Scientist

Compass

Boston, MA • On-site

$175K - $195K/yr

Full-time

Posted 8 days ago

Compass Real Estate rating

9.3

Company rating: 9.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 207 rated real estate companies

Job description

About the Role:

We are seeking a highly skilled and motivated Lead Data Scientist to join our data science team. In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve our most complex problems. You will set the standard for data science excellence, architect scalable solutions, and help define the long-term analytical strategy. You will partner with senior business stakeholders and engineering leaders to uncover insights, develop cutting-edge data-driven solutions, and drive initiatives that directly shape company-wide strategic planning, resource allocation, and product innovation.

Responsibilities:

  • Lead the end-to-end development, validation, and deployment of large-scale predictive models and algorithms that inform strategic business decisions and market trend analysis.
  • Design and execute rigorous data-driven research to analyze the impact of multi-faceted factors on business outcomes, tackling the organization's most highly ambiguous and open-ended problems.
  • Collaborate deeply with senior business stakeholders and engineering partners to identify strategic opportunities, translate overarching business goals into complex analytical frameworks, and deliver high-impact actionable insights.
  • Synthesize and communicate highly complex methodologies, technical trade-offs, and strategic findings clearly to both C-level executives and technical audiences.
  • Act as a technical mentor to other data scientists, fostering a culture of continuous learning, rigorous peer review, and adherence to state-of-the-art methodologies.

Qualifications:

  • Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field.
  • 5+ years of experience in data science with a proven track record of conceptualizing, leading, and delivering highly successful, end-to-end data science projects.
  • Deep expertise in key data science domains (e.g., time-series forecasting, deep learning, causal inference).
  • Extensive practical experience architecting solutions using a broad range of methodologies (e.g., prediction, segmentation, NLP).
  • Demonstrated proficiency in Python and SQL for complex data manipulation, statistical analysis, and model development.
  • Hands-on experience productionizing machine learning models and strong familiarity with MLOps concepts and workflows.
  • Proven experience leading complex, cross-functional projects and applying advanced methodologies to solve ambiguous business problems.
  • Strong advocate for clean code principles, software engineering best practices, and technical standards.
  • Strong business acumen and strategic thinking, with a proven ability to understand the broader business context, evaluate tradeoffs, and align analytical projects with organizational goals.
  • Experience mentoring and guiding junior team members, overseeing project quality, and investigating root causes of complex technical challenges.
  • Exceptional communication and collaboration skills, with a proven ability to work effectively in a fast-paced, cross-functional environment.
  • Experience in the Real Estate industry or other market-driven domains is a plus.

Compensation: The base pay range for this position is $175,500-195,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

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