Decision Scientist Lead

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 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 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, technologists, and 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 toward action and impact. Willingness to work across a global team and time zones. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. 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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. Know your rights: workplace discrimination is illegal. Compensation and Benefits 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 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. #J-18808-Ljbffr Salesforce