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Predictive Modeler Jobs in Massachusetts (NOW HIRING)

$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

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 ...

Build predictive models to forecast trends and outcomes. * Collaborate with stakeholders to understand business objectives and provide data-driven recommendations. * Communicate findings to non ...

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Predictive Modeler information

See Massachusetts salary details

$11

$64

$90

How much do predictive modeler jobs pay per hour?

As of Jul 28, 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.

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 predictive modelers?

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.

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 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 are popular job titles related to Predictive Modeler jobs in MA? For Predictive Modeler jobs in MA, the most frequently searched job titles are:
Infographic showing various Predictive Modeler job openings in Massachusetts as of July 2026, with employment types broken down into 1% Internship, 77% Full Time, 6% Part Time, 5% Contract, and 11% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,373 per year, or $64.1 per hour.

Associate Director, Predictive Analytics

Takeda

Cambridge, MA

$64K - $65K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

We are seeking a hands-on innovative seasoned Data Science professional for the Associate Director, Predictive Analytics position out of our Cambridge, Ma office to lead advanced analytics for Takeda's US GI Franchise. In this strategic, hands-on role, you will drive innovation in predictive modeling, machine learning models, and AI technologies to enhance patient identification, HCP targeting, and omnichannel engagement.

This position requires strong technical expertise, business acumen, and creative strategy to translate sophisticated analytics into actionable business solutions, delivering commercial excellence in areas such as trialist identification, patient segmentation, next-best-action (NBA), target prioritization dynamic targeting, and execution of AI/ML strategies to enable scalable personalization across HCP and patient stakeholders.

The professional brings a consultative approach to partnering with stakeholders to identify new business opportunities, develop advanced analytic insights informing strategies, and drive AI/ML & data driven decision making for business growth. You will collaborate with internal and external stakeholders to ensure models can be deployed in compliant, production-ready environments with clear plans to measure effectiveness.

How you will contribute

The Associate Director will be responsible for the following:

  • Advanced Data Science capabilities driving the utilization of predictive models in areas including Patient finding, HCP Targeting and Prioritization, Next Best Action Engines, predictive secondary data driven Patient and predictive Customer Segmentations.
  • Advanced Predictive Analytics for US. GI Franchise including new product launches or indications.
  • Partner with BUs, BU Analytics & Insights, Marketing and Sales Ops, Data CoEs etc.to define use cases and integrate predictive model-driven decisioning into business decisions.
  • As the Associate Director of Predictive Analytics, you will contribute to Takeda's mission by evolving Data Science solutions that bring increased business value to the US. GI Franchises

Strategic Leadership: Develop and execute a future-oriented data science strategy for commercialization, focusing on leveraging predictive and machine learning models to solve complex business challenges

Predictive Modeling & AI Innovation: Design and deploy predictive models-including logistic regression, ensemble methods, and other machine learning algorithms-for key applications such as trialist identification, patient segmentation, next-best-action (NBA), and HCP target prioritization. Lead the development of AI/ML algorithms to predict patient events, identify undiagnosed / misdiagnosed patients to drive targeted HCP engagements. Leverage/Create scalable, reusable AI/ML frameworks for learning experimentation and deployment.

Cross-Functional Partnership: Collaborate as a key thought partner with cross-functional teams-including Business Units, Brand Insights & Analytics, Marketing & Sales Operations, Patient Services, and Medical Affairs-to drive business impact. Develop creative strategies to ensemble multiple third-party patient data sets, enhancing coverage and precision in patient identification and predictive segmentations.

Team Leadership and Development: Mentor a high-performing team of data scientists by personally pursuing and promoting continuous learning and encouraging the adoption of emerging AI techniques, ensuring a culture of innovation and excellence. Promote ongoing AI skill development through hands-on training, external partnerships, and internal knowledge sharing.

Innovation & Continuous Improvement: Continually evolve analytical methods, platforms, standards, and toolsets to meet current and future business needs. Lead Data Science team efforts in developing advanced analytic AI/ML models providing continuous insights into execution optimization, and industry developments.

Strategic Consultation & Stakeholder Engagement: Act as a trusted thought partner to franchise Analytics & Insights, forecasting, and Patient Diagnosis Heads - leading data science driven discussions and translating business needs into appropriate predictive modeling strategies.

GenAI and Agentic AI Initiatives: Drive the adoption and integration of advanced AI technologies to enhance analytics capabilities, automate insights generation, and support innovative commercial strategies.

Vendor & Project Management: Manage relationships with trusted vendor partners for outsourced project work and ensure high-quality, timely deliverables. Oversee project timelines and budgets, utilizing project management tools for tracking progress.

Minimum Requirements/Qualifications:

  • BS/BA in a quantitative field (e.g., Statistics, Data Science) with 8+ years of relevant experience in pharmaceutical industry. Advanced degree (MS/MA in a related field) preferred.5+ years of hands-on experience in AI/ML modeling, with at least 3 years in pharmaceutical commercial analytics.
  • Strong technical expertise in machine learning, NLP, recommendation systems, and personalization use cases.
  • Proficient in Data Science tools and languages such as Python, R, SQL, Databricks, and is familiar with cloud platforms (AWS, Azure, GCP).
  • Experience with pharma data (e.g., IQVIA, Veeva, SP, claims, digital marketing) and strong understanding of compliance and privacy considerations.
  • Expert in delivering persuasive presentations, conveying complex advanced Data Science driven insights to non-technical audience, and mentoring others in presentation skills
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
  • Strong project management skills, with the ability to manage multiple projects simultaneously
  • Demonstrated leadership in a matrix organization, able to motivate and inspire team members to high performance levels.
  • Flexibility to adapt to changing business needs and evolving technology landscapes.

More about us:

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

USA - MA - Cambridge - Kendall Square - 500

U.S. Base Salary Range:

$154,400.00 - $242,550.00


The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

LocationsUSA - MA - Cambridge - Kendall Square - 500Worker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

Job Exempt

YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.