Staff Product Data Scientist - Slack

Salesforce

Base: $172,500 - $260,100 annually (up to $285,800...
**
5+ years data science experience
Python or r programming expertise
Large-scale data technologies like spark
** Salesforce is seeking a Staff Product Data Scientist for its Slack division, focusing on leveraging data science techniques to enhance product decision-making and strategy. The ideal candidate will have significant experience in data science, strong communication skills, and the ability to influence cross-functional teams. **

Job Summary

  • This role involves applying advanced data science techniques to analyze Slack product usage patterns and identify opportunities for improvement.
  • The successful candidate will partner with Product, Design, and Engineering teams to shape product strategy and define key success metrics.
  • Salesforce offers a comprehensive benefits package including medical, dental, vision, paid parental leave, and an employee stock purchasing program.

Matching Summary

Match Score: 75

** Salesforce is seeking a Staff Product Data Scientist for its Slack division, focusing on leveraging data science techniques to enhance product decision-making and strategy. The ideal candidate will have significant experience in data science, strong communication skills, and the ability to influence cross-functional teams. **

Salary

Base: $172,500 - $260,100 annually (up to $285,800 in select cities); Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k), paid parental leave

Skills & Requirements

Must-have

  • 5+ years data science experience
  • Python or R programming expertise
  • Large-scale data technologies like Spark
  • Advanced degree in quantitative field
  • Cross-functional collaboration skills

Nice-to-have

  • Apache Airflow experience
  • Evidence-based decision-making champion
  • Curious, bold, and collaborative mindset
  • Domain expert in product data science

Key Requirements

  • MS or PhD in Mathematics, Statistics, or related field
  • Minimum 5 years of experience in data science
  • Expertise in Python, R, Spark, Presto, Hive, or Hadoop

Work Rights

Not specified

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