1

Decision Scientist Jobs (NOW HIRING)

... Cross-functional decision makers leading Data 360. * Contribute to a team of high-achieving ... science, computer engineering, economics, applied math, statistics, engineering, or other ...

Lead Decision Scientist (Web) Remote, USA; Remote, Canada About Life360 Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and ...

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 ...

Showing results 41-60

Decision Scientist information

See salary details

$14

$63

$98

How much do decision scientist jobs pay per hour?

As of Aug 6, 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.

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, education, and location. Senior roles or those with advanced skills in data analysis, machine learning, and tools like Python or R may earn higher compensation. Many decision scientists also receive benefits such as bonuses and stock options.

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.

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.

How to become a decision scientist?

To become a decision scientist, one typically 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 and data visualization software, is also important. Developing skills in experimental design and decision modeling can further enhance qualifications for this role.

Is decision science a good career?

Decision science is a growing field that involves analyzing data and applying statistical and analytical methods to inform business decisions. It often requires skills in data analysis, programming, and critical thinking, with roles available in various industries such as finance, healthcare, and technology. The career offers opportunities for advancement and specialization, making it a viable option for those interested in data-driven decision making.
More about Decision Scientist jobs
What cities are hiring for Decision Scientist jobs? Cities with the most Decision Scientist job openings:
What are the most commonly searched types of Decision Scientist jobs? The most popular types of Decision Scientist jobs are:
What states have the most Decision Scientist jobs? States with the most job openings for Decision Scientist jobs include:
Infographic showing various Decision Scientist job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% 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

Salesforce, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 242 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Department Overview - Data Solutions is the force that propels Salesforce into the 4th Industrial Revolution informing through trusted data and artificial intelligence the path forward to be smarter in every dimension. From financial forecasting, customer health, and adoption insights to the utmost trusted and curated data, the Data Solutions team is the unbiased partner to all data trailblazers at Salesforce. This role will lead the team developing data foundation, metrics and insights for Data 360

Responsibilities

  • Thought leader and trusted advisor to the T&P leaders, specifically the General Manager, COO, Product Owners, and other Cross-functional decision makers leading Data 360.

  • Contribute to a team of high-achieving, innovative, fast-paced team of analysts, data engineers, and visualization engineers that partners with cross-functional teams to understand the business problem, gather information, synthesize data, apply mathematical and statistical methods to test hypotheses, and overlay business context to know why something happened (descriptive analytics) and provide recommendations on what to do about it (prescriptive analytics).

  • 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, including releasing data products, dashboards and other analytical work related to Data 360 and associated products.

  • Foster deep collaboration with cross-functional partners to establish the roadmap for the team, prioritize the most impactful work, and guide the team in solving ambiguous and complex problems.

  • Develop the metrics and product insights required for Salesforce to grow Data 360 adoption and consumption


Required Skills

  • 8+ years of demonstrated experience as a data science or analytics professional, with a proven track record of delivering impact through modeling and/or analytics.

  • 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, and delivering enterprise-scale predictive modeling initiatives and applications.

  • Expert communicator in written and verbal form; ability to work well with executives, and technologists, and able to lead and influence across all levels of the organization.

  • Proven experience thinking out-of-the-box and solving tough problems.

  • Proficient in statistics or machine learning, 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

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

What Salesforce employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom