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Predictive Modeler Jobs in Massachusetts (NOW HIRING)

MAPFRE

Manager, Actuarial Modeling Services

Webster, MA · On-site

$100K - $170K/yr

Summary Are you an experienced actuarial leader ready to influence pricing strategy, predictive ... Knowledge of model governance, validation, monitoring, and documentation practices. * Advanced ...

Flywire

$114K - $150K/yr

Background in predictive modeling of complex metrics and financials, balancing the science and art of forecasting, and driving actionable results through foresight and insights from forecasting data

Flywire

$114K - $150K/yr

Background in predictive modeling of complex metrics and financials, balancing the science and art of forecasting, and driving actionable results through foresight and insights from forecasting data

Flywire

$114K - $150K/yr

Background in predictive modeling of complex metrics and financials, balancing the science and art of forecasting, and driving actionable results through foresight and insights from forecasting data

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

SharkNinja

Manager, Media Analytics

Needham, MA · Hybrid

Predictive Modeling: Build and maintain predictive and forecasting models-spanning MMM, attribution, and incrementality-to anticipate media performance and guide allocation decisions before results ...

Merck & Co.

$144K - $227K/yr

Foundation Models: Build, fine-tune, troubleshoot, and benchmark foundation models for predictive immune biomarker discovery. Multi-omics Analysis:-Perform quality control (QC) and analysis of ...

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Predictive Modeler information

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$11

$64

$90

How much do predictive modeler jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for predictive modeler in Massachusetts is $64.12, according to ZipRecruiter salary data. Most workers in this role earn between $57.50 and $74.57 per hour, depending on experience, location, and employer.

What is a predictive modeler?

Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.

How does a predictive modeler typically collaborate with data scientists and business stakeholders during a project?

Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.

What are the key skills and qualifications needed to thrive as a predictive modeler, and why are they important?

To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.

What is the difference between Predictive Modeler vs Data Analyst?

AspectPredictive ModelerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analyticsBachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools
Work EnvironmentData science teams, analytics departments, often in tech, finance, or healthcare industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageUsed for building predictive models to forecast trends and behaviorsUsed for interpreting data, generating reports, and providing insights

While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.

What are popular job titles related to Predictive Modeler jobs in MA?

For Predictive Modeler jobs in MA, the most frequently searched job titles are:

Predictive Modeler jobs near you
Infographic showing various Predictive Modeler job openings in Massachusetts as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $133,373 per year, or $64.1 per hour.

Senior Manager, Predictive Science & AI - US Commercial

Cambridge, MA • On-site

Biogen
Scientific Research and Development Services • 5 - 10K employees

9.3

Company rating: 9.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

3rd of 86 rated pharmaceutical

Great coworkers

People enjoy working here

Good employer

Learn more about Biogenexternal

$142K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

The Senior Manager, Predictive Science & AI - US Commercial will be responsible for developing, implementing and optimizing of machine learning and AI solutions that drive data-driven decision-making across the U.S. Commercial organization. This role partners closely with Insights & Analytics, Enterprise Data Management, Information Technology, and Medical Affairs to develop predictive models and analytical solutions that generate actionable insights into patient populations and healthcare provider behavior. The successful candidate brings deep biotech commercial acumen and strong expertise in machine learning and AI to deliver timely, innovative solutions that inform strategic decisions and accelerate commercial growth.
This is a hybrid role to the Cambridge, MA office which requires an on-site presence 3 days per week.
Key Responsibilities
AI & Data Science Leadership
  • Design, develop and validate machine learning and predictive analytics-based solutions supporting U.S. Commercial function.

  • Evaluate business and analytical needs to select and implement appropriate statistical, machine learning, and AI methodologies that deliver meaningful insights into patient populations, healthcare provider behavior, treatment patterns, and commercial opportunities.

  • Follow and refine best practices for model development, monitoring, governance, and continuous improvement.

Patient and Provider Analytics
  • Develop, deploy advanced analytics, machine learning, and AI solutions to generate actionable insights into patient populations, healthcare provider behavior, treatment patterns, and disease progression.

  • Develop predictive models that support patient identification, segmentation, treatment initiation, adherence, persistence, and healthcare provider engagement strategies.

  • Integrate and analyze claims, electronic health records (EHR), specialty pharmacy, and commercial data to uncover opportunities that improve patient access, provider engagement, and commercial effectiveness.

  • Partner with Commercial, Medical Affairs, and Insights & Analytics teams to translate patient and provider insights into evidence-based business strategies.

  • Communicate complex analytical findings clearly to leadership and cross-functional teams.

Leadership and Performance
  • Support a culture of innovation, collaboration, continuous learning, and technical excellence.

  • Manage external vendors and consulting partners.

  • Operate effectively in a fast-paced, cross-functional environment, managing multiple initiatives while ensuring timely and high-quality execution.

Required Qualifications
  • Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.

  • 3+ years of experience supporting U.S. Commercial organizations within the pharmaceutical / biotechnology industry.

  • Strong programming skills in Python and SQL.

  • Experience with Databricks, Snowflake and Power BI.

  • Expertise in machine learning, statistical modeling, predictive analytics, and optimization techniques.

  • Knowledge of commercial pharmaceutical data sources such as IQVIA, Symphony Health, Veeva, Komodo, or claims and EHR datasets.

  • Excellent communication and stakeholder management skills.

Location: Hybrid (U.S.)
Reports To: Director, Predictive Sciences
Travel: Approximately 10-20% as needed
Job Level: Management
Additional Information
The base compensation range for this role is: $142,000.00-$190,000.00
Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.
Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees' and their families physical, financial, emotional, and social well-being; including, but not limited to:
  • Medical, Dental, Vision, & Life insurances
  • Fitness & Wellness programs including a fitness reimbursement
  • Short- and Long-Term Disability insurance
  • A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
  • Up to 12 company paid holidays + 3 paid days off for Personal Significance
  • 80 hours of sick time per calendar year
  • Paid Maternity and Parental Leave benefit
  • 401(k) program participation with company matched contributions
  • Employee stock purchase plan
  • Tuition reimbursement of up to $10,000 per calendar year
  • Employee Resource Groups participation

Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
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About Biogen

Sourced by ZipRecruiter

At Biogen, our mission is clear - we are pioneers in neuroscience. Biogen discovers, develops, and delivers worldwide innovative therapies for people living with serious neurological and neurodegenerative diseases. Together, our employees create, commercialize, and manufacture transformative therapies for our patient population.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Cambridge, MA, US

Year founded

1978

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Benefits

Hours and flexibility

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