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Decision Science Jobs in Minnesota (NOW HIRING)

Secondary Markets Manager

Richfield, MN · On-site

$81K - $146K/yr

... decision science, finance, and vendor partners to deliver sustainable improvements. Success in this role will require strong leadership, data-driven problem solving, and the ability to influence ...

... decision science, finance, and vendor partners to deliver sustainable improvements. Success in this role will require strong leadership, data-driven problem solving, and the ability to influence ...

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... decision science, finance, and vendor partners to deliver sustainable improvements. Success in this role will require strong leadership, data-driven problem solving, and the ability to influence ...

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Showing results 1-20

Decision Science information

See Minnesota salary details

$10.8K

$74.1K

$96.5K

How much do decision science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for decision science in Minnesota is $74,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $91,600.00 per year, depending on experience, location, and employer.

What is a decision science?

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 kind of jobs use decision science?

Decision science is used in roles such as data analysts, data scientists, operations researchers, and business analysts, where analyzing data and modeling decision-making processes are essential. These jobs often require skills in statistics, data visualization, and tools like Python, R, or SQL to inform strategic choices across industries like finance, healthcare, marketing, and technology.

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. The career can be rewarding for those interested in data-driven decision making and problem-solving.

What are the key skills and qualifications needed to thrive in decision science?

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 decision science do?

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.

What are popular job titles related to Decision Science jobs in Minnesota? For Decision Science jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Decision Science jobs? Cities in Minnesota with the most Decision Science job openings:
Infographic showing various Decision Science job openings in Minnesota as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $74,067 per year, or $35.6 per hour.

Senior Manager, Decision Science

The Whiteside Agency

Saint Paul, MN

$120K - $198K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago


Job description

Who Are We?

Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Job Category
Data AnalyticsCompensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range$120,400.00 - $198,700.00
Target Openings
1
What Is the Opportunity?
At Travelers, our vision is to advance our ability to fuel analytic-driven business decisions by accelerating cross-enterprise collaboration and capabilities. As a Sr. Manager, Decision Science, you will combine data expertise, statistical principles, business understanding, relationship building, and communication skills that will help to advance analytical maturity and business outcomes. Through explanatory modeling and analytics as well as experimental design and related inferential techniques, you will surface actionable insights that influence business decisions and strategies. Simply put, you are helping the business understand 'the why' underneath business trends and data. This discipline focuses on supporting business areas and activities beyond pricing and reserving, including Product, Sales, Marketing, Operations, Human Resources, among others.
This is an individual contributor position.What Will You Do?
  • Utilize a deep understanding of the business to procure data for current and future analysis or prototypes for new data asset, while following coding best practices.
  • Seek opportunities to provide stronger data quality and recommend improvements.
  • Determine and use appropriate techniques that may include complex diagnostic analysis, active monitoring and/or multivariate methods designed to answer business questions, test hypotheses, or assess impacts and results.
  • Explore and propose new data and analytic tools, techniques and industry best practices to apply to business problems.
  • Apply appropriate visualization (charts, graphs, maps, etc.) to analytic insights so that they may be delivered to various audiences.
  • Interpret and communicate findings to key stakeholders. Recommend optimal business action based on balancing business constraints and analytical findings.
  • Leverage existing organizational partnerships across lines and functional teams to influence analytic outcomes and start to inform strategic decisions.
  • Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts."
  • Perform other duties as assigned.
What Will Our Ideal Candidate Have?
  • Experience in Business Insurance nice to have.
  • Bachelor's Degree in a STEM related field, or a Business School Master's Degree with a concentration in a technical or analytical field.
  • Five years of related data and analytic experience.
  • Experience using explanatory, diagnostic, and inferential techniques such as experimental design, hypothesis testing, clustering analysis, time series and other statistical modeling algorithms with the ability to decide the appropriate methodology for the purpose.
  • Experience working on large-scale multidimensional data using advanced knowledge of open-source cloud-enabled analytical programming languages.
  • Ability to foresee challenges and proactively look for ways to create more efficient processes for the business.
  • Experience leading and managing complex projects.
  • Excellent communication skills with the ability to interact and translate analyses and methodology at various levels of the organization.
  • Proactively build and own professional business relationships across the data & analytics community across the Enterprise.
  • Core Technical Python (required), R (preferred), SQL, AWS Bedrock / SageMaker, FAISS or equivalent vector databases, NLP/LLM tooling Statistical Methods Experimental design, hypothesis testing, causal inference, time series, clustering, GLMs, predictive modeling
What is a Must Have?
  • Bachelor's degree or four years of experience in data, analytics, engineering, science, technical analytical fields or relevant experience.
What Is in It for You?
  • Health Insurance:Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment.
  • Retirement:Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  • Paid Time Off:Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  • Wellness Program:The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  • Volunteer Encouragement:We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.