Senior Data & Applied Scientist
Core
Design and analyze learner journeys, funnels, and behavioral signals to drive product decisions, content strategy, and curriculum sequencing for learner proficiency and retention.
Role type
Senior IC data scientist (product analytics & causal inference)
Builds
Measurement frameworks, competency models, skill taxonomies, and causal analysis reports for learning platforms.
Domain
EdTech / Learning & Development
Deliverable
dashboards & analysis
Required skills
Causal inference, A/B testing, behavioral modeling, metric definition, Python, SQL, PySpark, Databricks, Snowflake, large-scale data platform experience
Preferred skills
Experience with learning platforms, AI for insights, mentorship
Technologies
Python, R, SQL, KQL, PySpark, Fabric, Synapse, ADX, Delta Lake, ADF, Databricks, Snowflake
Responsibilities
Design and analyze learner journeys and funnels; define and operationalize product success metrics; conduct deep-dive analyses to identify drivers of engagement and retention; plan and evaluate experiments and causal analyses; set up operating rhythms for KPI health dashboards; develop competency models and skill taxonomies; mentor other data scientists.
Seniority
Senior, hands-on IC
