Senior Data Scientist - Customer Experience

Coursera
United States
Full timeUSD 132,000 - 166,000 annuallyFunction: Customer Success & Account ManagementExperience: 3-5 yearsEducation: bachelorsSkills: ["Communication","Organizational skills","Cross-functional collaboration","Data storytelling","Problem-solving"]

Build end-to-end analytics for the Enterprise Customer Experience team, using deep-dive analysis, predictive modeling (e.g., churn/upsell forecasting), and causal inference to improve retention and revenue growth. Partner with Customer Success stakeholders to diagnose metric shifts, measure initiative impact, and create KPI-driven data stories. Self-serve SQL and Python analyses while collaborating with Data Engineering/BI to improve data pipelines, dashboards, and AI/LLM solutions.

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FursaFursa
Coursera
Coursera
1 day ago

Senior Data Scientist - Customer Experience

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Build end-to-end analytics for the Enterprise Customer Experience team, using deep-dive analysis, predictive modeling (e.g., churn/upsell forecasting), and causal inference to improve retention and revenue growth. Partner with Customer Success stakeholders to diagnose metric shifts, measure initiative impact, and create KPI-driven data stories. Self-serve SQL and Python analyses while collaborating with Data Engineering/BI to improve data pipelines, dashboards, and AI/LLM solutions.
Location: United States
Employment Type: Full time
Job Function: Customer Success & Account Management
Seniority: Mid level

Key Responsibilities

  • •Collaborate with Customer Success and cross-functional stakeholders to develop business understanding and communicate data-driven insights.
  • •Conduct exploratory analysis to diagnose metric shifts and uncover actionable trends in customer behavior.
  • •Develop predictive models to optimize Customer Success workflows and support retention, churn, and renewals monitoring.
  • •Apply causal inference and experimentation methodologies to evaluate business impact of initiatives and product changes.
  • •Build and modify data pipelines and dashboards as needed, and contribute to KPI development and data quality improvements.

Pay and Benefits

Salary: USD 132,000 - 166,000 annually
Equity and Bonus:Equity
Perks:RsusAnnual Bonus

Key Requirements

  • •Bachelor’s degree or higher in a related quantitative field such as data science or statistics.
  • •3–5 years of relevant data science experience with deep-dive analysis, diagnosing metric shifts, and pragmatic modeling.
  • •Proficiency in applied statistics and practical machine learning, including causal inference, experimentation (A/B testing), forecasting, and regression.
  • •Advanced SQL skills for complex data extraction and manipulation, plus familiarity with data pipelining tools like dbt and Airflow.
  • •Experience designing and deploying AI/LLM-based solutions and communicating insights clearly to stakeholders.
Experience:3-5 yearsEducation technology
Education:Bachelor's
Skills:CommunicationOrganizational skillsCross-functional collaborationData storytellingProblem-solving
Tech Stack:SQLPythonDbtAirflowTableauSigmaDashboardsA/B testingCausal inferenceForecastingRegressionAI/LLMMachine learning

Company Brief

Coursera
Operates an online learning platform offering MOOCs, professional certificates, and degree programs in partnership with universities and organizations worldwide, enabling learners and professionals to acquire new skills and credentials online.
Industry: EdTech
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Mountain View, United States
Founded: 2012
WebsiteLinkedIn