Lead Data Scientist/Sr. Manager, Tableau

Key Skills

Java Programming, Python Programming, Salesforce, SQL, AWS, R Programming, Splunk

Job Description

Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. We are the fastest growing of the top 10 enterprise software companies, the World’s Most Innovative Company according to Forbes, and one of Fortune’s 100 Best Companies to Work For six years running. The growth, innovation, and Aloha spirit of Salesforce are driven by our incredible employees who thrive on delivering success for our customers while also finding time to give back through our 1/1/1 model, which leverages 1% of our time, equity, and product to improve communities around the world. Salesforce is a team sport, and we play to win. Join us!

Salesforce will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Department Overview - Data Intelligence

Data Intelligence (Di) is the force that propels Salesforce into the 4th Industrial Revolution, informing the path forward through trusted data and artificial intelligence. The Di team is made up of data scientists, engineers, and analysts who are dedicated to driving product and distribution strategy with data-driven insights. The Di team works with executives, product managers, designers, developers, user researchers, marketers, customer success, and sales team members across all Cloud businesses to discover new opportunities for growth and optimization, drive data-informed product strategy, and create data product experiences and actionable insights that enable our stakeholders to maximize product adoption and revenue. This role will lead the Di support for Tableau, reporting directly to the Senior Director of Data Science.

LOCATION: We are open to Fully Remote, Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in office) work arrangements.

What You Will Do

As a Lead Data Scientist, you will be a thought partner to the senior leadership of Tableau, working on problems that require both creativity and analytic rigor. You will be responsible for helping drive the product adoption for Tableau, partnering closely with cross-functional teams including Product, Marketing and Customer Success.

The successful candidate will need to:

• Partner with Senior Leadership (VP+) to understand their business and advise on strategic objectives, product direction, roadmaps, growth goals and retention strategies; as the Lead Data Scientist you will develop and own the relationships with senior stakeholders
• Produce insights (e.g. performance drivers, retention analysis, behavioral personas) to help grow Tableau businesses; this requires acquiring, cleaning, and structuring data from multiple sources (e.g. AWS, Splunk), and analyzing the data using SQL / Python / R
• Partner with the data engineering team and product engineering team to instrument, acquire, develop and structure data assets that are critical to measuring the success of our products
• Own the delivery by working with data engineers and business intelligence engineers to turn insights into self-service dashboards and data products
• Evangelize your insights through compelling storytelling that inspires action
• Contribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and autonomously improving team processes

Preferred Qualifications/Who You Are

• Exceptional analytical thinker with a passion for using data to solve business problems (6-12 years of experience in product analytics or data science)
• Advanced expert in SQL, strong Python or R skills
• Proficient with Tableau (and familiar with tools like Splunk)
• Charismatic storyteller ready to lead growth conversations with senior leadership
• Laser focused on impact, balancing effort to value, and getting things done
• Curious, creative, opinionated thinker with a talent for detecting patterns and elevating through strategy
• Expert in building relationships and collaborating in a matrixed environment.
• Lover of math with a strong understanding of statistical methods