Senior Data Scientist

Key Skills

Java Programming, Python Programming, SQL, Apache Hadoop, Tableau, R Programming, Splunk, Sales Optimisation, Product Analytics

Job Description

Partner with Senior Leadership (VP+) to understand their business and advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies. Develop and own the relationships with senior stakeholders across the company. Produce insights (e.g. performance drivers, retention analysis, behavioral personas) to help grow Salesforce Cloud businesses. Acquire, clean, and structure data from multiple sources (e.g. Hadoop, Splunk), and analyze the data using SQL / Python / R. Own the delivery of analyses by working with engineers and data scientists to turn insights into self-service dashboards or data products. Evangelize insights through storytelling and create easy-to-consume media that inspires into action anyone from senior execs to fellow analysts. Contribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, improving team processes, and other lateral activities. ˆHQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. 

Minimum Requirements:

Master’s degree (or its foreign degree equivalent) in Computer Science, Business Analytics, Engineering (any field), or a related quantitative discipline, and one (1) year of experience in the field of data science/data analysis or one (1) year of experience in the job offered OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Business Analytics, Engineering (any field), or a related quantitative discipline, and five (5) years of progressively responsible experience in the field of data science/data analysis or five (5) years of experience in the job offered.

Special Skill Requirements:

• SQL (1 year);
• Python (1 year);
• R (1 year);
• Tableau;
• Splunk;
• Product analytics;
• Sales analytics;
• Marketing analytics;
• Data structures and algorithms; and
• Statistical methods. Any suitable combination of education, training and/or experience is acceptable. Education, experience, and criminal background checks will be conducted. 

Submit resume with the apply button on this posting. Salesforce is an Equal Opportunity & Affirmative Action Employer. Education, experience and criminal background checks will be conducted.

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