Decision Scientist Lead

Momentum; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Data Solutions, a Salesforce Data 360 initiative, is seeking a seasoned data analytics leader to drive data foundation, metrics, and insights. You will partner with analysts, data engineers, and product teams to deliver descriptive and prescriptive analytics, dashboards, and data-driven product insights that influence the Data 360 roadmap.

You will collaborate with senior executives and cross-functional partners across the company, shaping strategy, leveraging AI tools, and turning data into

Qualifications

• 8+ years of experience as data science or analytics professional with impact via modeling or analytics.
• MBA or Master’s in Technology / quantitative field.
• Experience working with senior executive leadership and delivering enterprise-scale predictive modeling initiatives.
• Excellent written and verbal communication with executives and technologists; able to influence across the org.
• Proven ability to think creatively and solve difficult problems.
• Proficiency in statistics or machine learning; strong data manipulation and analytics skills.
• Proficiency in Python or R (PyData stack).
• Mastery of SQL for data extraction, feature engineering, and cloud data warehouses.
• Strategic problem-solving with a bias toward action and impact.

Responsibilities

• Act as a thought leader and trusted advisor to T&P leaders including GM, COO, and Product Owners in Data 360.
• Collaborate with analysts, data engineers, and visualization engineers to translate business problems into data solutions.
• Develop roadmaps, release data products, dashboards, and analytics for Data 360 and related products.
• Prioritize high-impact work and guide teams through ambiguous, complex problems.
• Define metrics and product insights to grow Data 360 adoption and usage.
• Build deep cross-functional relationships to inform product roadmap development.

Skills

Data analytics

Cross-functional collaboration

Executive communication

Statistical modeling

Python or R

SQL

Problem solving

Time zones coordination

Product analytics

Education

MBA or MS in a quantitative field

Tools

Python (PyData stack)

SQL

R

Job description

The Experience

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.

What You'll Actually Be Doing

• 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

You're Our Person If...

• 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