Coursera

1 day ago

Senior Data Scientist - Customer Experience

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Drive customer-experience outcomes on the Enterprise CX team by performing deep-dive analytics, diagnosing metric shifts, and building predictive models for churn and upsell forecasting. Apply causal inference and experimentation to measure impact of Customer Success initiatives. Partner with cross-functional stakeholders, self-serve key data pipeline and dashboard needs, and develop AI/LLM-powered solutions that improve retention, renewals, and revenue growth.

Location: Mountain View, United States, California

Workplace: Onsite

Employment Type: Full time

Job Function: Customer Success & Account Management

Seniority: Mid level

Key Responsibilities

•Collaborate with cross-functional stakeholders and the Customer Success team to deliver data-driven insights and support decision-making.
•Conduct exploratory analysis and diagnostic investigations to identify trends in customer behavior and uncover root causes of metric shifts.
•Develop predictive models (e.g., churn or upsell forecasting) and apply causal inference/experimentation to measure true business impact.
•Self-serve data pipelines and dashboards when needed, partnering with Data Engineering and BI for scalable infrastructure.
•Use analytics to support revenue growth by monitoring renewals and identifying leading indicators of risk and opportunity.

Pay and Benefits

Salary: USD 132,000 - 166,000 annually

Equity and Bonus:Equity

Perks:Rsus

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 performing deep-dive analyses and diagnostic work on metric shifts.
•Proficiency in applied statistics and practical machine learning, including causal inference, A/B testing, forecasting, and regression.
•Advanced SQL skills for complex extraction and manipulation, plus working knowledge of data pipelining tools such as dbt and Airflow.
•Programming proficiency in Python and experience designing and deploying AI/LLM-based solutions.

Experience:3-5 years

Education:High School in data science, statistics, or a related quantitative discipline

Skills:CommunicationOrganizational skillsCollaborationTech-curious mindset

Languages:English

Tech Stack:PythonSQLDbtAirflowTableauSigmaA/B testingAILLMCausal inferenceForecastingRegression

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

Website LinkedIn

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Coursera

1 day ago

Senior Data Scientist - Customer Experience

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Mountain View, United States, California

Workplace: Onsite

Employment Type: Full time

Job Function: Customer Success & Account Management

Seniority: Mid level

Key Responsibilities

•Collaborate with cross-functional stakeholders and the Customer Success team to deliver data-driven insights and support decision-making.
•Conduct exploratory analysis and diagnostic investigations to identify trends in customer behavior and uncover root causes of metric shifts.
•Develop predictive models (e.g., churn or upsell forecasting) and apply causal inference/experimentation to measure true business impact.
•Self-serve data pipelines and dashboards when needed, partnering with Data Engineering and BI for scalable infrastructure.
•Use analytics to support revenue growth by monitoring renewals and identifying leading indicators of risk and opportunity.

Pay and Benefits

Salary: USD 132,000 - 166,000 annually

Equity and Bonus:Equity

Perks:Rsus

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 performing deep-dive analyses and diagnostic work on metric shifts.
•Proficiency in applied statistics and practical machine learning, including causal inference, A/B testing, forecasting, and regression.
•Advanced SQL skills for complex extraction and manipulation, plus working knowledge of data pipelining tools such as dbt and Airflow.
•Programming proficiency in Python and experience designing and deploying AI/LLM-based solutions.

Experience:3-5 years

Education:High School in data science, statistics, or a related quantitative discipline

Skills:CommunicationOrganizational skillsCollaborationTech-curious mindset

Languages:English

Tech Stack:PythonSQLDbtAirflowTableauSigmaA/B testingAILLMCausal inferenceForecastingRegression

Company Brief

Coursera

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

Website LinkedIn