---
title: 'Senior Data Scientist - Customer Experience at Coursera Sourcing'
canonical: 'https://feeny.ai/job/senior-data-scientist-customer-experience-coursera-sourcing-united-states-c25rctq1xaqc'
type: 'job'
last_seen: '2026-09-17'
---

# Senior Data Scientist - Customer Experience at Coursera Sourcing

- **Company:** Coursera Sourcing
- **Location:** United States
- **Posted:** 2026-07-23
- **Last confirmed live:** 2026-09-17
- **Apply:** https://job-boards.greenhouse.io/sourcingcour/jobs/6122812004

## Job description

## About Coursera + Udemy

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our [blog](https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/).

Why join us now?

AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Shape what comes next

By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

Job Overview

As a Senior Data Scientist on the Enterprise CX team, you are a versatile problem-solver with a solid foundation in end-to-end data science methods. You excel in extracting actionable insights from data to drive strategic decisions and enhance revenue growth. Your expertise lies in conducting deep-dive analyses, diagnosing metric shifts, and applying practical statistical or machine learning methods to solve complex business problems. You are comfortable self-serving across the data stack when needed, and are eager to work collaboratively with stakeholders to deliver impactful solutions that drive business success.

About this Role:

The Senior Data Scientist plays a crucial role in supporting the Customer Success team through deep-dive data analysis, diagnostic investigations, targeted predictive modeling, and applied causal inference. This position involves working closely with cross-functional teams to drive revenue growth, reduce customer churn, and enhance operational efficiency. Reporting directly to the Manager of Data Science, you will contribute to the development of end-to-end analytical solutions and measure their true business impact.

What You'll Be Doing:

Cross-functional Collaboration & Communication:

- Collaborate with cross-functional stakeholders, developing a deep business understanding and supporting synergy across the organization.
- Communicate effectively with non-technical stakeholders.
- Partner closely with the Customer Success team to provide data-driven insights and support decision-making processes.

End-to-end Analytics:

- Deep-Dive Analysis: Conduct exploratory data analysis and analytical investigations to diagnose metric shifts and uncover actionable trends in customer behavior.
- Applied Modeling: Develop practical predictive models (e.g., churn or upsell forecasting) that directly inform and optimize Customer Success workflows.
- Impact Measurement: Apply basic causal inference and experimentation methodologies to evaluate the true business impact of Customer Success initiatives and product changes.
- Self-Serve Engineering: Build and modify foundational data pipelines and simple dashboards when needed to unblock analyses, partnering with core Data Engineering and BI teams for scalable infrastructure.

Operational Excellence:

- Optimize data workflows and contribute to data quality, stepping in to self-serve data extraction and transformation tasks when necessary.
- Contribute to the establishment and maintenance of Key Performance Indicators (KPIs) for customer success, leveraging descriptive and diagnostic analytics to drive actionable insights.

Revenue Growth:

- Utilize deep-dive analysis and pragmatic modeling to assist in monitoring renewals and identify leading indicators of risk and opportunity.
- Support ongoing analysis of customer retention, churn, and revenue trends, leveraging both foundational analytics and statistical methods to identify opportunities for growth.

Analytical Support and Proactive Insights:

- Evaluate business performance to identify the root causes of metric shifts, providing proactive data-driven insights to stakeholders.
- Assist in making recommendations to improve business productivity and performance, selecting the right analytical tool—from simple SQL aggregations to statistical modeling—to mitigate risks.
- Develop AI/LLM-powered solutions to support CS stakeholders.

Customer Success Collaboration:

- Work directly with stakeholders in the Customer Success team to create data stories that lead to customer retention and upsell opportunities.

What You’ll Have:

- Bachelor’s degree or higher in a related field, with a focus on data science, statistics, or a related quantitative discipline.
- 3-5 years of relevant experience in data science, with a demonstrated ability to conduct deep-dive analyses, diagnose metric shifts, and apply pragmatic modeling techniques to drive business impact.
- Proficiency in applied statistics and practical machine learning, with knowledge of causal inference, experimentation (A/B testing), forecasting, and regression.
- Advanced proficiency in SQL for complex data extraction and manipulation, alongside a working knowledge of data pipelining tools (e.g., dbt, Airflow) to self-serve when necessary.
- Proficiency in programming languages such as Python for data analysis, automation, and modeling.
- Working knowledge of Business Intelligence tools (e.g., Tableau, Sigma), with a strong understanding of best practices for dashboarding and data visualization to communicate insights.
- Hands-on experience designing and deploying AI/LLM-based solutions.
- Strong communication skills, with the ability to convey complex concepts clearly and effectively to stakeholders.
- Strong organizational skills, with the ability to manage multiple projects and deadlines effectively.
- A tech-curious mindset with a willingness to learn new technologies and methodologies to stay at the forefront of data science innovation.

## Compensation

US Zone 3 - 4

$132,000 – $166,000 USD

The range(s) listed above is the expected annual base salary for this role, subject to change.

Salary is just one component of Coursera’s total rewards package. All regular employees are also eligible for a bonus program and equity in the form of RSU’s.

A number of factors are taken into account when determining pay, which includes: job level, location, training/education, business need, skill set and internal equity.

Current Zone Locations:

- Zone 3 – CA (outside of SF Bay Area), CO, CT, DC, GA, IL, MA, MD, NY/NJ (outside of NYC Metro), OR, RI, TX, VA, WA (outside of Seattle Metro)

For more information about how Coursera collects and uses your personal information, please see our [Coursera + Udemy Global Applicant Privacy Notice](https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf).

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our [Fraudulent Activity Submission Form.](https://forms.gle/Mb8UktwuaJAukb3H7)

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at recruiting@coursera.org.

## About Coursera Sourcing

## Company Overview
- **One-liner**: Coursera is an online learning platform that partners with leading universities and industry organizations to offer courses, Specializations, Professional Certificates, and degrees, and has recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.
- **Entity Type**: Public Benefit Corporation (B Corp) – publicly traded (NYSE: COUR)
- **Headquarters**: Bay Area, California, USA (inferred from job zone definitions) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour)
- **Founded**: 2012 [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Founders**: Andrew Ng and Daphne Koller [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Core Business
- **Primary industry**: EdTech / Online Learning
- **Target customers**: B2B (institutions, corporations, governments), B2C (individual learners), and Enterprise (workforce upskilling) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Mission**: “to provide universal access to world-class learning” [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Products & Services
- **Courses & Specializations**: Individual and series of courses from top universities and industry partners.
- **Professional Certificates**: Career-focused certificate programs.
- **Degrees**: Online degree programs from accredited universities.
- **AI-Powered Features**: Personalized guide, Role Play (conversational practice), Course Builder, and Skills Tracks for role-based learning [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Coursera for Business / Government**: Enterprise solutions for workforce and citizen upskilling, including dedicated roles like Senior Product Marketing Manager for Government [jobera.com](https://jobera.com/employer/sourcingcour/)
- **Combined Udemy Platform**: Post-merger, the expanded catalog and scale of combined content offerings [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)

## Market Standing
- **Valuation/Market Cap**: Not disclosed in provided sources (publicly traded, market cap can be looked up separately).
- **Key Metric**: Over 11 active open positions as of May 2026, indicating growth and active hiring [jobera.com](https://jobera.com/employer/sourcingcour/)
- **Notable Investors/Partners**: Partnerships with “leading university and industry partners” (specific names not listed in provided sources) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Growth Signals**: Merger with Udemy to form a combined skills development platform; extensive hiring in data science, product, engineering, and go-to-market roles; emphasis on AI-powered innovation (GenAI, LLM fine-tuning, RAG) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Competitive Advantages
- **University & Industry Partnerships**: Access to content from top institutions (e.g., Stanford, Yale, Google, IBM) not exclusive but deep.
- **AI-First Platform**: Built-in AI tools (personalized guide, Role Play, Course Builder) differentiate from traditional LMS and other MOOC providers [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Scale After Udemy Merger**: Combined content library and global reach create one of the largest lifelong learning ecosystems [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)
- **Public Benefit & B Corp Status**: Legally committed to social impact alongside shareholder returns, an attractive differentiator for mission-driven talent [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Strategic Focus
- **AI-Powered Innovation**: Accelerating the use of generative AI to personalize learning, automate content creation, and improve learner outcomes [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Post-Merger Integration**: Combining Coursera and Udemy to maximize catalog breadth, remove redundancies, and cross-sell to new segments [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)
- **Enterprise & Government Expansion**: Growing upskilling and reskilling solutions for corporate and public-sector clients (e.g., dedicated roles for Coursera for Government) [jobera.com](https://jobera.com/employer/sourcingcour/)
- **Data-Driven Product Development**: Heavy investment in analytics, experimentation, and data infrastructure to improve discovery and engagement [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)

## Why Work Here
- **Culture**: “Customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.” Emphasis on ownership, data-driven decision-making, and continuous learning [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Work Model**: Globally distributed team with intentional in-person gatherings for collaboration; virtual onboarding and hiring. Some roles listed as on-site (100%) on jobera, but the overall tone is remote-friendly with location-specific pay zones [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004) [jobera.com](https://jobera.com/employer/sourcingcour/)
- **Compensation & Perks**: Competitive zone-based pay (e.g., Staff Analytics Engineer: $156k–$235k USD depending on location), bonus, RSU equity, comprehensive health benefits, and global perks. For Canadian roles, CAD ranges are also published (e.g., Senior Data Scientist: $137.6k–$172k CAD) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)
- **Engineering Culture**: Modern data stack (Airflow, dbt, Databricks, Sigma, AI tools like Claude/Gemini); strong mentorship and leadership opportunities; focus on data governance, architecture, and self-serve analytics [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Sources
1. [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour) – Coursera Sourcing career page (Greenhouse)
2. [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004) – Staff Analytics Engineer job description
3. [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004) – Senior Data Scientist job description
4. [jobera.com](https://jobera.com/employer/sourcingcour/) – Jobera summary of Coursera Sourcing jobs
5. [coursera.org](https://www.coursera.org/) – Coursera homepage

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