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Staff Product Data Scientist
Salesforce. Apply advanced data science techniques to analyze Slack product usage patterns .
Posted 4/21/2026full-timeSan Francisco • California, Washington • 🇺🇸 United StatesLead💰 $172,500 - $260,100 per yearWebsite
Tech Stack
Tools & technologiesAirflowApacheHadoopPythonSpark
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 5+ years of experience in data science or quantitative analysis
- Advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus
- Expertise in at least one programming language for data science (e.g., Python, R)
- Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop)
- Expertise in Apache Airflow is a strong plus
- Strong communication skills
- Cross-functional collaboration and influencing skills
Benefits
Comp & perks- time off programs
- medical, dental, vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencequantitative analysisPythonRSparkPrestoHiveHadoopApache Airflowdata analysis techniques
Soft Skills
communication skillscross-functional collaborationinfluencing skills
Certifications
MSPhD