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Decision Scientist Jobs (NOW HIRING)

Jobtailor

Decision Scientist Lead

California, MO · On-site

$140 - $240/hr

Develop the metrics and product insights required for Salesforce to grow Data 360 adoption and consumption Requirements * 8+ years of demonstrated experience as a data science or analytics ...

Ibotta, Inc

Staff Decision Scientist

Denver, CO · On-site

$128K - $151K/yr

Ibotta is seeking a Staff Decision Scientist , Client Analytics to join our team and contribute to our mission to Make Every Purchase Rewarding. In this role, you will be an Individual Contributor ...

Ibotta, Inc.

$128 - $151/hr

Ibotta is seeking a Staff Decision Scientist , Client Analytics to join our team and contribute to our mission to Make Every Purchase Rewarding. In this role, you will be an Individual Contributor ...

Ibotta, Inc.

Staff Decision Scientist

Denver, CO · On-site

$128 - $151/hr

Ibotta is seeking a Staff Decision Scientist , Client Analytics to join our team and contribute to our mission to Make Every Purchase Rewarding. In this role, you will be an Individual Contributor ...

Life360

Lead Decision Scientist, Product

$133K - $195K/yr

About the Job We're hiring a Lead Decision Scientist to be a strategic partner embedded with product and engineering teams. Someone who shapes what gets built, how we grow, and where we invest. You ...

Life360

Lead Decision Scientist, Product

$133K - $195K/yr

About the Job We're hiring a Lead Decision Scientist to be a strategic partner embedded with product and engineering teams. Someone who shapes what gets built, how we grow, and where we invest. You ...

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How much do decision scientist jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for decision scientist in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $83.65 per hour, depending on experience, location, and employer.

What is a decision scientist?

A Decision Scientist leverages data, statistical analysis, and machine learning techniques to guide business decision-making. They focus on extracting insights from structured and unstructured data to optimize strategies and solve complex problems. Unlike a data scientist who primarily builds models, a decision scientist emphasizes actionable insights and interpretable recommendations. They work closely with stakeholders to drive data-driven decisions in areas like pricing, operations, and customer engagement.

What does a decision scientist do?

Decision Scientists generally spend their days gathering and analyzing large data sets, building predictive or optimization models, and communicating their findings to stakeholders. They regularly collaborate with cross-functional teams—such as product managers, engineers, and business strategists—to frame business problems and develop data-driven solutions. In addition to technical work, they often present insights in clear, impactful ways and may help guide strategic decision-making at both operational and executive levels. This mix of analytical tasks and cross-team collaboration makes the role both dynamic and integral to organizational success.

What are the key skills and qualifications needed to thrive as a decision scientist?

To thrive as a Decision Scientist, you need strong analytical skills, expertise in statistics and data modeling, and typically an advanced degree in a quantitative discipline like data science, operations research, or applied mathematics. Familiarity with data analysis tools such as Python, R, SQL, as well as experience with machine learning libraries and decision optimization platforms, is highly valued. Exceptional problem-solving ability, effective communication, and the capacity to translate complex analytical findings into actionable business recommendations are key soft skills. These competencies are crucial for driving data-driven decision making that maximizes organizational impact and efficiency.

How much does a decision scientist make?

A decision scientist's average salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in data analysis, machine learning, and tools like Python or R may earn higher compensation.

How to become a decision scientist?

To become a decision scientist, typically one needs a strong background in statistics, data analysis, and machine learning, often obtained through a bachelor's or master's degree in fields like data science, economics, or related areas. Gaining experience with programming languages such as Python or R and tools like SQL is also important, along with developing skills in experimental design and decision modeling.
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Decision Scientist jobs near you
Infographic showing various Decision Scientist 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 $133,020 per year, or $64 per hour.

Decision Scientist Lead

Jobtailor

California, MO • On-site

$140 - $240/hr

Other

Posted 5 days ago

Job description

  • Thought leader and trusted advisor to the T&P leaders
  • Contribute to a team of high-achieving, innovative, fast-paced team of analysts, data engineers, and visualization engineers
  • Master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams
  • Inform the product roadmap development and execution for Data 360 product analytics
  • Foster deep collaboration with cross-functional partners to establish the roadmap for the team
  • Develop the metrics and product insights required for Salesforce to grow Data 360 adoption and consumption
Requirements
  • 8+ years of demonstrated experience as a data science or analytics professional
  • MBA or Master’s in Technology (computer science, computer engineering, economics, applied math, statistics, engineering, or other quantitative field)
  • Proven experience working directly with senior executive leadership
  • Expert communicator in written and verbal form
  • Proven experience thinking out-of-the-box and solving tough problems
  • Proficient in statistics or machine learning and strong data manipulation, product analytics, and statistical analysis skills
  • Adept proficiency in Python or R (specifically the PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit-learn)
  • Mastery of SQL for complex data extraction, feature engineering, and performance tuning within cloud data warehouses
  • Strategic problem solver who simplifies problems to their core elements and finds creative solutions
  • Experience leveraging AI tools to enhance your flow of work
  • Get-it-done mindset with a strong bias towards action and impact
  • Willingness to work across a global team and time zones
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