1

Predictive Analyst Jobs in Massachusetts (NOW HIRING)

Associate Director, Predictive Analytics

Cambridge, MA · On-site

$64K - $65K/yr

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 ...

Lead the transformation of People Analytics into a strategic, predictive, and AI-enabled capability that shapes organizational decisions, influences behavior, and drives measurable business outcomes.

Lead the transformation of People Analytics into a strategic, predictive, and AI-enabled capability that shapes organizational decisions, influences behavior, and drives measurable business outcomes.

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Leveraging our expertise in complex systems analysis, advanced algorithm development, and hardware ... Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive ...

$93K - $116K/yr

Your role will involve working across Salesforce CRM, marketing automation platforms, and analytics tools to deliver actionable insights, enable predictive decision making, and support a scalable, AI ...

Leveraging our expertise in complex systems analysis, advanced algorithm development, and hardware ... Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive ...

Leveraging our expertise in complex systems analysis, advanced algorithm development, and hardware ... Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive ...

next page

Showing results 1-20

Predictive Analyst information

What does a predictive analyst do?

A predictive analyst uses statistical models and data analysis techniques to forecast future trends and behaviors based on historical data. They often work with tools like Python, R, or SQL and interpret data to support decision-making in various business areas. Strong analytical skills and knowledge of machine learning are essential for this role.

Is 40 too late for data science?

Predictive analysts and data scientists can successfully enter the field at age 40 or older, as experience, analytical skills, and continuous learning are highly valued. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications.

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

To thrive as a Predictive Analyst, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or economics. Proficiency with data analytics tools like Python, R, SQL, and machine learning platforms, as well as familiarity with data visualization software, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help you translate complex data findings into actionable business insights. These skills and qualifications are essential for delivering accurate forecasts that drive strategic decision-making and business growth.

How does a Predictive Analyst typically collaborate with other teams within an organization?

Predictive Analysts often work closely with cross-functional teams such as marketing, product management, and IT. They translate complex data findings into actionable insights for business decision-makers, requiring strong communication skills and the ability to present data visually. Collaboration may involve regular meetings to define project goals, share progress, and refine predictive models based on team feedback. This interdepartmental cooperation ensures that analytics align with overall business strategies and deliver measurable value.

Which 3 jobs will survive AI?

Predictive analysts are likely to continue thriving as their role involves interpreting complex data and developing models that require human judgment and domain expertise. Jobs that involve creative thinking, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and managers, are also expected to persist despite AI advancements. These roles often require skills that are difficult for AI to replicate fully.

What is a Predictive Analyst?

A Predictive Analyst is a professional who uses data analysis, statistical techniques, and machine learning models to forecast future outcomes and trends for a business or organization. They collect and interpret large sets of data to identify patterns and make predictions that help guide strategic decisions. Predictive Analysts often work with various software tools and collaborate with other departments to improve business performance and anticipate future challenges or opportunities.

What jobs make $1,000,000 a year?

Predictive analysts typically do not earn $1,000,000 annually; such high salaries are usually associated with top executives, successful entrepreneurs, hedge fund managers, or highly specialized roles in finance and technology. Achieving this level often requires extensive experience, advanced skills, and significant performance-based bonuses or equity. Most roles in data analysis and related fields have lower salary ranges, with top-tier positions in certain industries reaching high seven figures or more.

What is the difference between Predictive Analyst vs Data Analyst?

AspectPredictive AnalystData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; often certifications in predictive modelingBachelor's in Data Analysis, Statistics, or related field; certifications in data visualization or analysis tools
Work EnvironmentAnalytical teams, data science departments, often in tech, finance, or healthcareBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed in industries requiring forecasting and predictive modeling, like finance, marketing, healthcareUsed broadly for data reporting, visualization, and descriptive analysis across industries

Predictive Analysts focus on building models to forecast future trends using statistical and machine learning techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analysts typically have more specialized training in predictive modeling and data science tools.

What are popular job titles related to Predictive Analyst jobs in Massachusetts? For Predictive Analyst jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Predictive Analyst jobs in Massachusetts look for? The top searched job categories for Predictive Analyst jobs in Massachusetts are:
Infographic showing various Predictive Analyst job openings in Massachusetts as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Associate Director, Predictive Analytics

Takeda

Cambridge, MA • On-site

$64K - $65K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Re-posted 8 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.