Senior Data & Applied Scientist
Tasks
- Build measurement frameworks and new learning metrics
- Conduct causal analyses and deep dive drivers research
- Define product success metrics and guardrails
- Design and analyze learner journeys and funnels
- Develop KPI dashboards and weekly business review metrics
- Develop competency models and skill taxonomies
- Ensure telemetry and analyses meet privacy consent and retention expectations
- Evaluate learning content and curriculum impact
- Mentor data scientists and review analytical work
- Own product program analytics and insights
- Partner on telemetry instrumentation and scalable reporting
- Plan and evaluate experiments and communicate recommendations
- Recommend improvements using behavioral signals and modeling
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Azure Data | Azure Data Explorer | B testing | Behavioral Modeling | Causal Inference | Competency modeling | Customer Journey | Customer Journey Analytics | Data Explorer | Data Instrumentation | Data Quality | Data platforms | Databricks | Enterprise Data | Enterprise data platforms | Experiment design | Funnel Analysis | Journey Analytics | KPI Dashboards | KQL | Learning Analytics | Multi-Modal | Multi-Modal Modeling | Product Analytics | PySpark | Python | R | SQL | Skill Taxonomy | Snowflake | Statistical Analysis | Telemetry
Education
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