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Management Science Jobs in Boston, MA (NOW HIRING)

Director I, Data Science Product Management

MA · On-site

$254K - $266K/yr

Description The Director, Data Science Product Management supports the organization, prioritization, and delivery of a portfolio of data science work that enables machine learning and AI solutions ...

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Design Manager - Sciences

Boston, MA · On-site

$105K - $140K/yr

You will understand science "from the inside" and believe that the planning and design of science environments can make a difference.As a Design Manager you will manage and lead project teams in the ...

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

Senior Scientist Pharma

Milford, MA · On-site

$100K - $137K/yr

Serves as a key scientific partner to Product Management, R&D, and Marketing in defining pharmarelevant product requirements. * Represents the scientific perspective in crossfunctional planning ...

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Management Science information

See Boston, MA salary details

$26.6K

$52.6K

$85.9K

How much do management science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for management science in Boston, MA is $52,593.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $56,500.00 per year, depending on experience, location, and employer.

What is management science?

Management science is an interdisciplinary field that uses analytical methods, such as mathematics, statistics, and computational techniques, to solve complex business and organizational problems. It aims to improve decision-making, efficiency, and productivity within organizations by applying quantitative approaches to management issues. Professionals in this field may work on optimizing supply chains, forecasting demand, resource allocation, and other areas where data-driven decisions are needed. Management science is widely used in industries like manufacturing, logistics, finance, healthcare, and government.

What is the work of management science?

Management science involves applying quantitative methods, such as mathematical modeling, data analysis, and optimization techniques, to help organizations make better decisions. Professionals in this field analyze complex problems related to operations, logistics, and resource allocation to improve efficiency and effectiveness. They often use tools like spreadsheets, simulation software, and statistical analysis in their work environment.

What is the highest paying job in management?

In management, executive roles such as Chief Executive Officer (CEO), Chief Operating Officer (COO), and Chief Financial Officer (CFO) tend to be the highest paying positions, often earning six- or seven-figure salaries. These roles require extensive experience, strategic leadership skills, and often advanced degrees or certifications, and they typically oversee large organizations or divisions.

What professions make 200,000 a year without a degree?

Management science professionals typically require at least a bachelor's degree, but some high-paying roles such as sales managers, real estate brokers, or entrepreneurs can earn $200,000 or more annually without a degree. Success in these fields often depends on experience, skills, networking, and performance rather than formal education alone.

What are the key skills and qualifications needed to thrive as a Management Science professional, and why are they important?

To thrive in Management Science, you need strong analytical skills, quantitative reasoning, and a background in mathematics, business, or related fields, often supported by a relevant degree. Familiarity with data analysis tools like Excel, R, Python, and optimization software, as well as certifications such as Six Sigma or PMP, is common. Exceptional problem-solving abilities, communication skills, and teamwork set top performers apart in this role. These skills are crucial for developing effective strategies and solutions that optimize organizational performance and decision-making.

What is the difference between Management Science vs Data Analyst?

AspectManagement ScienceData Analyst
Required CredentialsBachelor's or Master's in Management, Operations Research, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentConsulting firms, corporate strategy departments, research institutionsBusiness, finance, marketing departments, or analytics firms
Employer & Industry UsageUsed in industries requiring optimization and decision modelingUsed across industries for data interpretation and reporting

Management Science focuses on applying quantitative methods to optimize decision-making and solve complex problems, often involving modeling and simulation. Data Analysts primarily interpret and visualize data to support business insights. While both roles require analytical skills, Management Science emphasizes operational research and strategic modeling, whereas Data Analysts focus on data collection, cleaning, and reporting.

What can I do with a management science degree?

A management science degree prepares individuals for roles such as management analyst, operations manager, supply chain analyst, or business consultant. It involves skills in data analysis, decision-making, and problem-solving, often utilizing tools like spreadsheets and statistical software to improve organizational efficiency.

How does a Management Science professional typically collaborate with other departments within an organization?

Management Science professionals frequently work cross-functionally, collaborating with departments such as operations, finance, marketing, and IT. They apply quantitative analysis and modeling to solve complex business problems, often acting as a bridge between technical teams and business leaders. Effective communication and the ability to translate data-driven insights into actionable recommendations are key to success in this role. Regular meetings, joint project teams, and collaborative problem-solving sessions are common, making teamwork and adaptability essential skills.
What job categories do people searching Management Science jobs in Boston, MA look for? The top searched job categories for Management Science jobs in Boston, MA are:
Infographic showing various Management Science job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,593 per year, or $25.3 per hour.
Director I, Data Science Product Management

Director I, Data Science Product Management

Liberty Mutual Insurance

MA • On-site, Remote

$106K/yr

Full-time

Posted 15 days ago


Liberty Mutual rating

9.0

Company rating: 9.0 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

33rd of 281 rated insurance


Job description

Description
About the Team
The Enterprise Data & Data Science organization provides centralized product, platform, and technology support for Data Science teams across Liberty Mutual. Our team focuses on enabling the development, deployment, and adoption of AI/ML solutions through shared platforms, reusable capabilities, and enterprise-scale data science practices. We partner closely with Data Scientists, Engineers, Architects, and business stakeholders to accelerate innovation, improve operational efficiency, and help deliver business value through AI and machine learning.
Description
The Director, Data Science Product Management supports the organization, prioritization, and delivery of a portfolio of data science work that enables machine learning and AI solutions across Liberty Mutual. This role develops and drives product vision, represents the voice of the customer, and partners closely with Data Scientists, Engineers, Architects, and business stakeholders to deliver measurable business value.
This role serves as the Product Owner for a portfolio of data science enablement capabilities, partnering with engineering teams to translate customer needs into prioritized roadmaps, backlogs, and delivered solutions.
This role is ideal for a candidate who combines strong data science or technical expertise with product thinking and stakeholder leadership. Success requires the ability to understand the needs of Data Scientists, evaluate technical solutions, and translate complex technical concepts into product decisions and business outcomes.
This position may be filled as an Assistant Director or Director I, Data Science based on experience.
Asst Director, Data Science Product Management: $125,300 - $176,800
Dir I, Data Science Product Management: $142,800 - $201,300
Responsibilities
  • Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities.
  • Develop business value estimates and success measures to inform prioritization and evaluate outcomes.
  • Represent the voice of the customer and incorporate stakeholder feedback into product decisions.
  • Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions.
  • Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience.
  • Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions.
  • Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements.
  • Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs.
  • Partner with delivery teams to support effective planning, execution, and delivery using Agile practices.
  • Lead discussions, planning sessions, and stakeholder engagements for complex initiatives.
  • Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership.

Qualifications
  • Asst Director, Data Science Product Management- Bachelor`s degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management. Master`s degree preferred. ACAS helpful.
  • Dir I, Data Science Product Management- Bachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred. FCAS / ACAS preferred
  • Master`s degree preferred
  • Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management.
  • Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization.
  • Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes.
  • Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices.
  • Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.).
  • Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts.
  • Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes.
  • Experience working effectively in large, complex, and highly matrixed organizations.
  • Strong communication, stakeholder management, influence, and organizational leadership skills.

About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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