Data Scientist
Tasks
- Analyze data to identify relationships patterns trends risks and opportunities
- Analyze user behaviors to guide product direction
- Audit and propose value realization metrics
- Collaborate with cross functional teams to engineer workarounds
- Create dashboards and data visualizations for decision making
- Design and run business scenarios for revenue projections
- Design build and implement statistical modeling solutions
- Educate business teams on data science principles and data visualization
- Formulate design and run experiments to validate product hypotheses
- Lead cross functional data science efforts to meet business requirements
- Lead value metrics projects and communicate insights to partners
- Measure value delivery and inform product decisions
- Prioritize tasks to improve productivity and ensure timely results
- Solicit stakeholder feedback for metrics and dashboards
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Data Visualization | Dimensionality Reduction | ETL | Ensemble learning | Feature Scaling | Feature Selection | Hypothesis Testing | Machine Learning | Matplotlib | Python | R | Regression | Resampling | SQL | Seaborn | Spark | Statistical inference | Trino
Education
N/A
Roles
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