Sr. Data Scientist
Tasks
- Advance analytics in Python and R
- Analyze large complex data sets
- Apply causal inference methodologies
- Apply predictive modeling and experimentation
- Author measurement plans
- Build ETL pipelines with SQL and Python
- Build dashboards and reports
- Communicate results to product teams
- Conduct root cause analysis
- Define and evaluate metrics
- Design and evaluate experiments
- Develop data infrastructure with Hadoop Hive MySQL
- Develop machine learning models
- Guide label design and offline and online evaluation
- Identify metrics levers and success drivers
- Monitor product metrics
- Partner with product and engineering teams
- Perform exploratory user analysis
- Present work to product leadership
- Spread analytics best practices
Perks/Benefits
Skills/Tech-stack
Causal Inference | Cause analysis | Dashboards | Data Visualization | ETL | Experiment design | Hadoop | Hive | Machine Learning | MySQL | Offline evaluation | Online evaluation | Predictive Modeling | Python | R | Root Cause Analysis | Root cause | SQL
Education
Roles
Regions
Countries
States
Cities
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