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Decision Scientist Lead

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 240000 USD Yearly USD 140000.00 240000.00 YEAR
Job Description & How to Apply Below
Location: California

  • 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, Num Py, Sci Py, Stats models, 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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