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Data Science Manager Jobs in Woonsocket, RI (NOW HIRING)

... managing cloud-based solutions to ensure scalability, security, and performance. * Build and ... D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related ...

The data science team at FocusKPI builds models and machine learning algorithms that power all our ... Communicate methodologies and results to management, clients, and other non-technical stakeholders.

Data Scientist (MMM)

Boston, MA · On-site

$90K/yr

The data science team at FocusKPI builds models and machine learning algorithms that power all our ... Communicate methodologies and results to management, clients, and other non-technical stakeholders.

Data Scientist

Boston, MA · On-site

$80 - $130/hr

Educate colleagues on new tools, methods, and best practices applicable to data science and analytics. * Work independently on projects, managing planning, execution, and communication of progress ...

We are seeking a Data Science specialist to join us to innovate, drive, and support initiatives and ... May manage and prioritize multiple projects at a given time Education & Experience: * Undergraduate ...

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting ... quality management. * Develop and automate predictive modeling processes that can be deployed ...

... science, or related quantitative techniques to solve complex business problems * Experience with analytical and data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or ...

Masters in Data Engineering, Data Science or related * Prior experience in biotech or ... Familiarity with model management and pipeline tools preferred (ML Flow, DataBricks, etc.

Data Scientist

Worcester, MA · On-site

$96K/yr

Masters in Data Engineering, Data Science or related * Prior experience in biotech or ... Familiarity with model management and pipeline tools preferred (ML Flow, DataBricks, etc.

Masters in Data Engineering, Data Science or related * Prior experience in biotech or ... Familiarity with model management and pipeline tools preferred (ML Flow, DataBricks, etc.

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

Showing results 41-60

Data Science Manager information

See Woonsocket, RI salary details

$29.7K

$93.1K

$164.8K

How much do data science manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science manager in Woonsocket, RI is $93,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $120,300.00 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 Woonsocket, RI?

The most popular types of Data Science jobs in Woonsocket, RI are:

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

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

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

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

Infographic showing various Data Science Manager job openings in Woonsocket, RI as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, 1% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $93,086 per year, or $44.8 per hour.

Data Scientist, Baseball Analytics

Boston Red Sox

Boston, MA

$75K - $100K/yr

Full-time

Re-posted 17 days ago


Job description

DEPARTMENT OVERVIEW:  

Baseball Analytics is the quantitative research and data science group within Baseball Operations. We develop statistical models, machine learning algorithms, and analytical tools that support decision-making across Baseball Operations including player acquisition, player development, and player optimization. Core responsibilities include predictive modeling, applied research, experimentation, and communicating technical findings to inform baseball decisions. 

POSITION OVERVIEW: 

The Boston Red Sox seek a Data Scientist for the club’s Baseball Analytics department to develop, evaluate, and optimize predictive models that enhance decision-making across all aspects of Baseball Operations. Operating in a dynamic and intellectually stimulating environment, the Data Scientist will collaborate closely with the Baseball Analytics team and other Baseball Operations stakeholders to influence player personnel decisions and strategic initiatives. This role offers a unique opportunity to apply advanced statistical techniques and data science to shape the team's future direction. 

The successful candidate will possess strong analytical skills, a deep understanding of baseball, and the ability to communicate technical concepts to non-technical audiences effectively. The specific role, level, and compensation package will be tailored to the selected candidate's qualifications and experience. Applications are encouraged from individuals with varying levels of expertise in the field. 

The salary range for this position is $75,000–$100,000, based on relevant experience and internal equity. Our full-time employees also receive a comprehensive benefits package, including healthcare, retirement plans, paid time off, and more. 

RESPONSIBILITIES:
  • Design and maintain robust predictive models and data pipelines to generate insights for player evaluation, acquisition, development, and performance optimization. 
  • Craft compelling written reports and data visualizations to effectively communicate complex analyses to diverse audiences, including both technical specialists and Baseball Operations leadership. 
  • Partner with the Baseball Systems team to seamlessly integrate new analytical findings into team applications and proactively identify and address data quality issues.  
  • Continuously monitor and evaluate cutting-edge analytics and research from public and academic spaces to recommend innovative ideas, methodologies, and technologies that can enhance on-field performance.  
COMPETENCIES
  • Understanding of modern statistical and machine learning methods and an advanced proficiency with popular data science languages and libraries.
  • Practical understanding of how to approach research questions to drive actionable insights.  
  • Able to visualize, present and disseminate analyses to a diverse group of stakeholders (leadership, coaches, players, scouts, etc.) in a clean, intuitive, and engaging way. 
ADDITIONAL QUALIFICATIONS:
  • PhD or master's degree in a quantitative field (such as statistics, engineering, applied mathematics, physics, quantitative social sciences, computer science, computer vision, or operations research) or equivalent professional experience.
  • Proficiency in SQL and programming languages such as R or Python.
  • A passion for baseball and a strong desire to contribute to building a championship-winning team. 
In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.
At the Boston Red Sox we go beyond embracing diversity. We’re committed to living by our values, strengthening our community, and creating a workplace where people genuinely feel like they belong. 
 
Too often, job seekers don’t apply to positions because they don’t meet every qualification. If you love this role and are great at what you do, we encourage you to apply. Your unique skills and experiences might just be what we’ve been looking for.
 
Prospective employees will receive consideration without discrimination based on race, religious creed, color, sex, age, national origin, handicap, disability, military/veteran status, ancestry, sexual orientation, gender identity/expression or protected genetic information.