Senior Data Scientist
Americor
AWSPythonSQLTableau
Staff Product Data Scientist
Salesforce
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, Colorado, Illinois, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $200,800 - $276,100 per year
Job Level
Lead
Tech Stack
AirflowApacheHadoopPythonSpark
About the role
- 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
- Serve as a domain expert in product data science
- Champion evidence-based decision-making
Requirements
- 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 (e.g., Spark, Presto, Hive, Hadoop)
- Expertise in Apache Airflow is a strong plus
- Strong communication skills
- Experience designing and implementing advanced data models with scalability and efficiency
- Experienced in applying advanced quant measurement techniques in a product development environment
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencequantitative analysisPythonRSparkPrestoHiveHadoopApache Airflowadvanced data models
Soft skills
strong communication skillsevidence-based decision-making
Certifications
related technical degree
