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Decision Science Jobs (NOW HIRING)

Decision Science is the function that turns that signal into competitive advantage. The modeling opportunities here are genuinely rich: delivery prediction, carrier routing optimization, demand and ...

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Decision Science information

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$11K

$75.6K

$98.5K

How much do decision science jobs pay per year?

As of Jun 26, 2026, the average yearly pay for decision science in the United States is $75,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a Decision Science job?

A Decision Science job involves using data, analytics, and mathematical models to guide business decisions. Professionals in this field apply statistical analysis, machine learning, and optimization techniques to solve complex problems. They work closely with stakeholders to translate data insights into strategic actions. Decision Science roles are common in industries like finance, healthcare, marketing, and technology. The goal is to enhance decision-making processes by leveraging data-driven approaches.

What jobs can you get with a decision science degree?

A decision science degree prepares individuals for roles such as data analyst, business analyst, operations analyst, or data scientist. These jobs involve analyzing data, developing models, and supporting decision-making processes using tools like statistical software and programming languages. Strong analytical skills and knowledge of data visualization are essential for success in these positions.

What is a decision scientist's job?

A decision scientist analyzes data to help organizations make informed choices by applying statistical methods, machine learning, and data visualization. They often work with large datasets, use tools like Python or R, and collaborate with teams to develop data-driven strategies. Their goal is to improve decision-making processes across various business functions.

How much does a decision scientist make?

Decision scientists typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with advanced skills in data analysis, machine learning, and programming can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on performance and company size.

Is decision science a good career?

Decision science is a growing field that involves analyzing data to inform strategic choices, often requiring skills in statistics, data analysis, and programming. It offers opportunities in various industries such as finance, healthcare, and technology, with roles typically requiring a strong analytical background and proficiency in tools like Python or R.

What are the key skills and qualifications needed to thrive in the Decision Science position, and why are they important?

To excel in Decision Science, you need a strong background in statistics, mathematics, data analysis, and business acumen, often supported by a degree in data science, economics, or a related field. Expertise with tools like Python, R, SQL, data visualization platforms, and familiarity with machine learning models or certifications is highly valuable. Strong problem-solving, critical thinking, and communication skills distinguish top performers in this role. Combining these abilities allows professionals to turn complex data into strategic insights that drive effective business decisions.

What does a typical day look like for someone working in Decision Science?

In a Decision Science role, your day often involves analyzing large datasets, building predictive models, and interpreting results to help inform business strategies or solve operational problems. You may collaborate closely with cross-functional teams such as product, marketing, and engineering to translate insights into actionable recommendations. Other daily activities typically include exploratory data analysis, preparing reports or visualizations, and presenting findings to both technical and non-technical stakeholders. This role offers fast-paced, intellectually rewarding work with ample opportunity for professional growth in both technical and strategic career paths.

More about Decision Science jobs
What cities are hiring for Decision Science jobs? Cities with the most Decision Science job openings:
What states have the most Decision Science jobs? States with the most job openings for Decision Science jobs include:

Manager, Decision Science Center of Excellence

Takeda

Cambridge, MA โ€ข Hybrid

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 2 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

About the role:

Join Takeda as a Manager, Decision Science Center of Excellence where you lead brand-level promotional mix modeling and campaign lift assessment within the Decision Science team. This hands-on, strategic role drives innovation in response modeling, ROI/mROI estimation, scenario development, and resource optimization to inform data-driven commercial decisions. You will also translate advanced analytics into actionable insights while mentoring a high-performing data science team and serve as a key client-facing partner to business stakeholders, shaping promotional strategy and investment decisions. You will report to the Director, Predictive Analytics and Insights. This is a hybrid role based in Cambridge, MA.

How you will contribute:

  • Assist in the development and application of promotion response models for campaign assessment, targeting, and spend optimization.

  • Assist in data sourcing and provide hands-on QA and modeling input preparation.

  • Work with and manage GCC analysts and vendor partners.

  • Provide consultative analytics support across Business Units, I&A, Marketing, Sales, and the Data COE

  • Serve as a DS COE MOS point of contact for promotional performance, simulation, and optimization questions from assigned BUs.

Strategic Leadership & Partnership

  • Partner with Brand, Sales, I&A, and Leadership to define key business questions.

  • Assist in the development of forward-looking measurement and campaign lift frameworks.

Modeling, Testing & Optimization

  • Assist in the design and deployment of advanced models (GLM, Bayesian, logistic regression, ML/ensemble methods)

  • Lead ROI/mROI estimation, response curve development, and scenario simulation.

  • Apply optimization techniques to guide resource allocation decisions.

  • Assist in the design and measurement planning for in-market tests and observational analyses to measure campaign impact.

  • Deliver clear, defensible recommendations on promotional investment.

Team Leadership & Development

  • Assist in building and mentoring a high-performing decision science team.

  • Personally pursue continuous learning, including adoption of AI and advanced modeling techniques and foster continuous learning throughout the DS organization.

  • Drive knowledge sharing and capability development across USBU.

Innovation & Continuous Improvement

  • Assist in the advancement of modeling methodologies, tools, and platforms to meet evolving business needs.

  • Assist in the integration of AI-driven solutions to enhance modeling efficiency and enable self-service analytics.

Vendor & Project Management

  • Manage external partners to ensure high-quality, timely delivery.

  • Oversee project timelines, budgets, and execution.

Skills

  • Programming expertise (Python, R, SQL, SAS).

  • Experience with BI tools (e.g., Tableau).

  • Experience working with internal and syndicated healthcare data (e.g., IQVIA, Komodo, Symphony) and translating insights into recommendations.

  • Demonstrated analytical skills and an ability to drive data-informed decisions.

  • Clear, concise communicator with strong presentation and storytelling abilities.

  • Ability to prioritize and deliver in a fast-paced, evolving environment.

  • Proven ability to build trust and collaborate with cross-functional Marketing and Sales stakeholders.

Minimum Requirements/Qualifications:

  • BS/BA in a quantitative field (e.g., Statistics, Data Science) with 3+ years of relevant experience.

  • Advanced degree (MS/MA in a related field or MBA with healthcare focus) preferred.

  • Pharmaceutical industry experience preferred.

TRAVEL REQUIREMENTS:Occasional domestic overnight travel may be required.

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:

$116,000.00 - $182,270.00


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.