Decision Scientist Lead

Description

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 s role will lead the team developing data foundation, metrics and insights for Data 360

• 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.

• 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, 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.

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.

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: