EU
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
About the role
- Data Science expert analyzing product usage patterns at Slack to drive data-driven product decision-making. Collaborating with cross-functional partners and defining key success metrics.
Responsibilities
- 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
- 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
- Able to translate complex technical results into clear, actionable insights
- Cross-functional collaboration and influencing 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
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