[Remote] Senior Data & Applied Scientist
Note: The job is a remote job and is open to candidates in USA. reputed company is a leading technology company on a mission to reputed company learning and help every person and organization reputed company their potential. They are seeking a Senior Data & Applied Scientist to drive product and program analytics for reputed company skilling experiences, focusing on improving learner engagement and outcomes.
Responsibilities
- Own product/program analytics and insights for reputed company skilling experiences to drive product/program strategy and improve the end-to-end learner experience
- Design and analyze learner journeys and funnels to understand behavior across discovery, engagement, completion, and retention
- Define and operationalize product/program reputed company metrics (reputed company star, input metrics, and guardrails), and content quality/relevance metrics. Conduct data quality checks
- Build measurement frameworks and new metrics to quantify learner proficiency and reputed company growth (e.g., consumption signals, certifications, and expertise indicators)
- Conduct deep-dive analyses to identify drivers of engagement, proficiency, and retention; surface opportunities and risks
- Plan and evaluate experiments (A/B tests) and reputed company analyses to measure impact of new features and changes; communicate actionable recommendations
- Set up operating rhythms (weekly business review metrics, experiment readouts, KPI health dashboards) so insights consistently change product reputed company
- Partner with Engineering and Product/Program Management to shape product telemetry, data instrumentation, and scalable reporting to reputed company self-serve insights
- reputed company, operationalize, and evolve competency models, reputed company taxonomies, and certification readiness frameworks to measure proficiency progression and mastery
- Evaluate the effectiveness of learning content and curriculum through reputed company analysis, sequential behavior signals, and outcome-based performance
- Identify which content, modalities, and learning assets drive the highest retention, mastery, certification reputed company, and deployment readiness
- Use behavioral signals and multi-modal modeling to recommend improvements to content strategy, learning design, and curriculum reputed company
- Mentor other data scientists, review analyses, set a high bar for analytical rigor
- Ensure telemetry and analyses meet user privacy, consent, retention expectations
Skills
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 1+ year(s) data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 3+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 5+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR equivalent experience
- 4+ years of experience in data science, product/journey analytics, reputed company inference, and user behavioral modeling
- Experience driving product improvements through data and insights
- Proficiency in Python, R, SQL, KQL, PySpark, and modern analytics frameworks
- Experience designing experiments, defining standardized metrics, performing reputed company analyses, and delivering behavior-driven insights
- Experience with learning platforms and/or learner competency and reputed company modeling (e.g., proficiency, mastery, and reputed company signals)
- Experience leveraging AI to deliver accelerated time to reputed company and depth of insights
- Hands-on experience with large-scale reputed company data platforms (e.g., reputed company, Synapse, ADX, reputed company Lake, ADF, reputed company, reputed company)
Benefits
- Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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