Principal Data Scientist

Global leader in CRM and enterprise cloud computing solutions
$192,200 - $334,600
Data
Principal Software Engineer
In-Person
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS

Description For Principal Data Scientist

Salesforce is seeking a Principal Data Scientist to join their team in building a world-class data science and analytics platform. This role is crucial for supporting and scaling executive-level, data-driven product decision-making. The position involves working closely with data science teams and cross-functional partners to derive insights from data, communicate findings to executives, and drive best practices in product strategy.

The ideal candidate will work within Slack (a Salesforce company) to contribute directly to product development, shaping what they build, how they measure success, and their iteration process. The role requires expertise in advanced data science techniques, strong analytical capabilities, and the ability to translate complex data into actionable insights.

This is an excellent opportunity for a seasoned data scientist who wants to make a significant impact at a leading enterprise software company. The position offers the chance to work with large-scale data technologies and apply advanced statistical and machine learning knowledge in a practical, product-focused environment. The role combines technical expertise with strategic thinking, requiring both deep analytical skills and strong executive communication abilities.

Salesforce fosters a positive, diverse, and supportive culture, seeking individuals who are curious, bold, and eager to improve every day. The team values being smart, humble, hardworking, and collaborative. This role offers the opportunity to work with cutting-edge technologies while influencing product decisions at one of the world's leading enterprise software companies.

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Responsibilities For Principal 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 Principal Data Scientist

Python
  • 7+ years of experience in data science or quantitative analysis
  • Technical degree required; advanced degree (MS, PhD) in quantitative field preferred
  • Expertise in at least one programming language for data science (Python, R)
  • Experience with large-scale data technologies (Spark, Presto, Hive, Hadoop)
  • Strong executive communication skills
  • Cross-functional collaboration and influencing skills
  • Experience designing advanced data pipelines and schemas
  • Strong statistical and machine learning knowledge
  • Expertise in DS measurement methodologies

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