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Staff Data Scientist

Salesforce is a global leader in customer relationship management (CRM) software and enterprise cloud computing solutions.
Data
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Job Description

Salesforce is seeking a Staff Data Scientist to join their world-class data science and analytics team at Slack. This role combines advanced technical expertise with strategic product development, requiring 5+ years of experience in data science or quantitative analysis. The position involves working closely with Product, Design, and Engineering teams to shape product strategy through data-driven insights.

The ideal candidate will apply sophisticated data science techniques to analyze product usage patterns, conduct evaluations of growth drivers, and communicate insights to leadership. They'll need expertise in programming languages like Python or R, and experience with large-scale data technologies including Spark, Presto, and Hadoop.

At Salesforce, you'll be part of a culture that values being smart, humble, and collaborative. The company offers comprehensive benefits including wellbeing reimbursement, parental leave, adoption assistance, and fertility benefits. This role presents an opportunity to impact product decisions at a leading enterprise software company while working with cutting-edge data science technologies.

The position is based in Atlanta, GA, and offers the chance to work on meaningful projects that directly influence product strategy and development. You'll serve as a domain expert, advancing data science methodologies while making insights accessible to stakeholders at all levels.

Last updated 6 days 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
Parental Leave
Vision Insurance
Dental Insurance
  • Wellbeing reimbursement
  • Generous parental leave
  • Adoption assistance
  • Fertility benefits