Senior Data & Applied Scientist
Tasks
- Build measurement frameworks and learner proficiency metrics
- Communicate actionable recommendations
- Conduct data quality checks
- Define and operationalize success metrics
- Design and analyze learner journeys and funnels
- Develop competency models and skill taxonomies
- Ensure privacy consent and retention compliance
- Evaluate learning content effectiveness
- Mentor data scientists and review analyses
- Own product program analytics
- Plan and evaluate experiments and causal analyses
- Recommend improvements to content strategy and curriculum sequencing
- Run deep dive analyses for engagement and retention drivers
- Set up weekly business review and KPI dashboards
- Shape product telemetry and data instrumentation
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Azure Data | Azure Data Explorer | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | B testing | Behavioral analytics | Causal Inference | Competency modeling | Data Explorer | Data Factory | Data Instrumentation | Data Quality | Databricks | Delta Lake | Experiment design | KQL | Machine Learning | PySpark | Python | R | SQL | Series analysis | Skill Taxonomy | Snowflake | Statistical modeling | Synapse Analytics | Telemetry | Time Series | Time Series Analysis
Education
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