Note: The job is a remote job and is open to candidates in USA. Coursera and Udemy are now one company combining mission-driven learning platforms to help learners and enterprise customers build skills for a changing world. The Senior Data Scientist will support the Customer Success team through deep-dive analysis, predictive modeling, causal inference, and AI/LLM-powered solutions to drive revenue growth, reduce churn, and improve operational efficiency.
Responsibilities
- 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
- **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
- 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
- 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
- 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
- Work directly with stakeholders in the Customer Success team to create data stories that lead to customer retention and upsell opportunities
Skills
- 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
Benefits
- All regular employees are also eligible for a bonus program
- All regular employees are also eligible for equity in the form of RSU’s
Company Overview
Company H1B Sponsorship