Java Programming, Python Programming, Salesforce, SQL, AWS, R Programming, Splunk
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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:
Preferred Qualifications/Who You Are
Salesforce is an American cloud-based software company headquartered in San Francisco, California. It provides customer relationship management (CRM) service and also provides enterprise applications focused on customer service, marketing automation, analytics, and application development.
Tel Aviv, Israel
2-4 year
Bangalore, Karnataka, India
2-4 year
Bangalore, Karnataka, India
2-4 year
Bangalore, Karnataka, India
2-4 year
Dallas, TX, USA
2-4 year
Georgia, USA
2-4 year
Georgia, USA
2-4 year
Florida, USA
2-4 year
Indianapolis, IN, USA
2-4 year
New Jersey, USA
2-4 year
North Carolina, USA
2-4 year
South Carolina, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Cambridge, MA, USA
2-4 year
Boston, MA, USA
6-8 year
Atlanta, GA, USA
2-4 year
Chicago, IL, USA
2-4 year
Indianapolis, IN, USA
2-4 year
Kirkland, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
South Africa
2-4 year
Cambridge, MA, USA
2-4 year
Cambridge, MA, USA
2-4 year
Hyderabad, Telangana, India
2-4 year
Kirkland, WA, USA
2-4 year
Kirkland, WA, USA
2-4 year
Palo Alto, CA, USA
2-4 year
Palo Alto, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bellevue, WA, USA
2-4 year
Chicago, IL, USA
2-4 year
Indianapolis, IN, USA
2-4 year
Seattle, WA, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
San Francisco, CA, USA
4-6 year
Bangalore, Karnataka, India
8-10 year