Senior Data Scientist - Customer Experience

1. About Our Client:

The organization operates within the online education and skills development industry, addressing the challenge of providing accessible, high-quality learning worldwide. It partners with universities and industry leaders to deliver a broad range of educational content and credentials, utilizing AI-powered personalization and scalable learning solutions. The company supports institutions and individuals globally in acquiring skills needed for high-demand fields such as artificial intelligence, data science, technology, and business.

2. About the Opportunity:

The Senior Data Scientist - Customer Experience plays a key role in enabling the Customer Success team through deep analytical work and predictive modeling to support revenue growth and reduce churn. This role focuses on uncovering actionable insights, measuring the impact of initiatives, and collaborating with cross-functional teams to optimize customer retention and operational efficiency. The position contributes directly to strategic decisions that affect the organization’s revenue and user engagement.

3. Responsibilities:

• Collaborate with cross-functional stakeholders to develop business understanding and support organizational synergy.

• Communicate analytical findings effectively to non-technical stakeholders.

• Partner with the Customer Success team to provide data-driven insights for decision-making.

• Conduct exploratory data analysis to diagnose metric changes and identify customer behavior trends.

• Develop predictive models for churn forecasting and upsell optimization.

• Apply causal inference and experimentation methods to evaluate business impact.

• Build and adjust data pipelines and dashboards to support analysis needs.

• Optimize data workflows and improve data quality.

• Establish and maintain KPIs related to customer success.

• Analyze customer retention, churn, and revenue trends to identify growth opportunities.

• Provide proactive insights and recommendations to improve business performance.

• Develop AI and large language model-powered solutions to assist Customer Success stakeholders.

• Create data-driven narratives that promote customer retention and upsell opportunities.

4. Requirements:

• Bachelor’s degree or higher in data science, statistics, or a related quantitative field.

• 3-5 years of professional experience in data science or related roles.

• Proficiency in SQL and experience with Python or R for data analysis.

• Strong skills in statistical analysis, predictive modeling, and causal inference.

• Experience collaborating with cross-functional teams and communicating complex data effectively.

• Ability to build and maintain data pipelines and dashboards.

5. Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.