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Staff Data Scientist

Global leader in CRM and enterprise cloud computing solutions
$167,300 - $276,100
Data
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS
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Description For Staff Data Scientist

Salesforce is seeking a Staff Data Scientist to join their team in building a world-class data science and analytics platform. This role will be crucial in supporting and scaling data-driven product decision-making, particularly for Slack's product development. The position requires a seasoned professional with 5+ years of experience who will work closely with Product, Design, and Engineering teams to shape product strategy and implementation. The ideal candidate will have expertise in Python or R, experience with large-scale data technologies, and strong communication skills. They will be responsible for analyzing product usage patterns, conducting evaluations, defining success metrics, and communicating insights to leadership. Salesforce offers a comprehensive benefits package including healthcare, 401(k), and stock options. The role is available in multiple major US cities including San Francisco, Seattle, Chicago, New York, and Denver, with competitive salary ranges varying by location. The company culture emphasizes being smart, humble, hardworking, and collaborative, while fostering a positive, diverse, and supportive environment.

Last updated a month ago

Responsibilities For Staff Data Scientist

  • Apply advanced data science techniques to analyze Slack product usage patterns
  • Conduct evidence-based evaluations to determine key drivers of Slack's product growth
  • Define and report key success metrics
  • Synthesize insights across different product areas and business outcomes
  • Serve as a domain expert in product data science
  • Champion evidence-based decision-making

Requirements For Staff Data Scientist

Python
  • 5+ years of experience in data science or quantitative analysis
  • A related technical degree required
  • Expertise in at least one programming language for data science (e.g., Python, R)
  • Experience working with large-scale data technologies (Spark, Presto, Hive, Hadoop)
  • Strong communication skills
  • Cross-functional collaboration and influencing skills
  • Experience designing and implementing advanced data models
  • Experience in applying advanced quant measurement techniques

Benefits For Staff Data Scientist

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Parental Leave
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k)
  • Employee stock purchasing program

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