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Decision Science Jobs (NOW HIRING)

USAA

Decision Science Analyst (Mid-level)

San Antonio, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Decision Science Analyst (Mid-level) , you will provide decision support for business areas across the association. This role applies statistical modeling, quantitative analysis, and innovative ...

Truist

Decision Science Lead

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. Promote Best Practices & Continuous Improvement * Champion architectural rigor ...

Truist

Decision Science Lead

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. Promote Best Practices & Continuous Improvement * Champion architectural rigor ...

Truist

Decision Science Lead

Charlotte, NC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. Promote Best Practices & Continuous Improvement * Champion architectural rigor ...

Truist

Decision Science Lead

Winston Salem, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. Promote Best Practices & Continuous Improvement * Champion architectural rigor ...

Stord, Inc.

Director of Decision Science

Atlanta, GA · On-site

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 ...

Stord

Director of Decision Science

Atlanta, GA

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 ...

Salesforce, Inc.

Director, Decision Science

San Francisco, CA · On-site

$197.30 - $313.70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Director, Decision ScienceSkip to main content#Director, Decision Science page is loaded## Director, Decision ScienceApplyremote type: Office Tech-Flexiblelocations: California - San Francisco:

Stord

Director of Decision Science

Atlanta, GA

This is Stord's first dedicated Decision Science leadership role, a hands-on Data Science Director role for someone who wants to build a full-stack analytics and machine learning function from the ...

Salesforce, Inc.

Director, Decision Science

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role will lead the decision science team developing data foundation, metrics and insights that fuel Salesforce's Customer 360 Apps, ensuring AI agents and human decision-makers alike can act on ...

Stord

Director of Decision Science

This is Stord's first dedicated Decision Science leadership role, a hands-on Data Science Director role for someone who wants to build a full-stack analytics and machine learning function from the ...

Salesforce, Inc.

Director, Decision Science

Palo Alto, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role will lead the decision science team developing data foundation, metrics and insights that fuel Salesforce's Customer 360 Apps, ensuring AI agents and human decision-makers alike can act on ...

Salesforce, Inc.

Director, Decision Science

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role will lead the decision science team developing data foundation, metrics and insights that fuel Salesforce's Customer 360 Apps, ensuring AI agents and human decision-makers alike can act on ...

Dealer Tire, LLC

Senior Manager, Decision Science

Cleveland, OH · On-site

$143K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role manages decision scientists, product owners, and BI developers while serving as a player-coach who raises team capability, models analytical best practices, and helps deliver value from ...

Truist

Decision Scientist III

Atlanta, GA · On-site

$86K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

Truist

Decision Scientist III

Richmond, VA · On-site

$86K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

Truist

Decision Scientist III

Charlotte, NC

$86K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

Truist

Decision Scientist III

Richmond, VA · On-site

$86K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

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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 Aug 18, 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?

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 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 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.

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 also varies based on industry 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. The career can be rewarding for those interested in data-driven decision-making and problem-solving.

What is a decision science job?

A decision science job involves analyzing data and applying quantitative methods to help organizations make informed decisions. Professionals in this field often use statistical tools, machine learning, and data visualization to solve complex problems and improve strategic outcomes.

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.
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:

What job categories do people searching Decision Science jobs look for?

The top searched job categories for Decision Science jobs are:

Decision Science jobs near you
Infographic showing various Decision Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $75,624 per year, or $36.4 per hour.

Decision Science Analyst

Kobie Marketing

Saint Petersburg, FL • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

Join a National Top Workplace
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers.
Join Us from Anywhere
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with:
• Flexible Time Off to recharge when needed
• Nine Company-Wide Holidays
• A diverse suite of benefits prioritizing your growth, development, and personal well-being
Discover more about our perks and benefits here.
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role.
About the team and what we'll build together
We find actionable insights in our clients' loyalty data that help drive enterprise value. We create real time dashboards to inform internal and external stakeholders. You'll bring your experience with a breadth of marketing techniques, an ease of working with customer data, and an understanding of advanced mathematics and statistical techniques. This position is a client-facing, hands-on role that is responsible for helping shape our clients' strategic direction for their loyalty initiatives.
How you will make an impact
  • Play a key role as part of a team responsible for delivering data-driven, actionable customer insights that directly contribute to increased sales/profit through our clients' customer loyalty programs, while collaborating closely with Strategy and Client Services teams to align on client objectives and deliver impactful results.
  • Build and maintain audience lists to support the CRM team in executing targeted campaigns and achieving engagement goals.
  • Provide actionable recommendations that drive business objectives by drawing out key insights from in-depth, complex data sources based on a thorough understanding of client's strategy, success criteria, and program objectives
  • Develop data visualizations and narratives that make data and analysis consumable by all levels and expertise of internal and external stakeholders
  • Collaborate with Data Engineering and Business Intelligence teams to design and develop new tools, models, and data sources to support our clients' business objectives and overcome challenges
  • Proactively create learning agendas, test plans, and solutions that make attribution unassailable and maximize key KPIs such as incremental ROI and LTV
  • Manage workflow, scope and prioritization of client requests and Kobie investments

What you need to be succesful
  • 2-4+ years previous relevant customer analytics and/or marketing/CRM experience
  • Great storyteller with data that can influence senior stakeholders with insights and recommendations
  • Familiarity with data exploration and data visualization tools like Tableau, PowerBI , or Sigma
  • Demonstrated success using customer segmentation techniques such as RFM, cluster analysis and regression modeling to drive targeted marketing
  • Solid project management skills and experience in juggling multiple projects at a time
  • Bachelor's Degree in Statistics, Marketing, Economics, or Computer Science
  • Python/SQL programming experience preferred
  • Master's in Statistics, Economics or Applied Mathematics, or MBA, preferred
  • Proficiency in fundamental marketing and loyalty principles, preferred

Who we are As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty.
A place for all We celebrate and embrace diversity at Kobie!
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law.
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values.
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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