Senior Data Scientist, Customer Analytics

Position Overview:

We are seeking a Senior Data Scientist to join our Customer Analytics team within the Customer Success organization. This team plays a critical role in measuring the health of the business and delivering insights that inform strategy, improve decision‑making, and drive customer outcomes.

• Analyze product usage data to identify behavioral patterns, segmentation opportunities, and growth drivers.
• Develop predictive models to analyze customer churn, retention, expansion, and product adoption.
• Build customer health scores and predictive signals to support proactive customer success strategies.
• Apply appropriate AI/ML techniques (e.g., advanced segmentation, pattern detection, NLP where relevant) to enhance insights.
• Translate business questions into analytical frameworks and data science solutions.
• Partner with Customer Success and Product teams to identify opportunities to improve engagement and reduce churn.
• Generate actionable insights and recommendations to influence business decisions.
• Communicate complex analyses clearly to both technical and non‑technical stakeholders.
• Collaborate with BI teams to embed predictive insights into dashboards and reporting.

• 5–7+ years of experience in Data Science, Advanced Analytics, or similar roles.
• Strong proficiency in Python (preferred) or R for data analysis and modeling.
• Hands‑on experience with predictive modeling techniques (e.g., regression, classification, clustering).
• Strong SQL skills and experience working with large‑scale datasets.
• Solid understanding of customer analytics concepts (churn modeling, segmentation, cohort analysis).
• Experience with machine learning/AI techniques and when to apply them to business problems.
• Strong analytical thinking and problem‑solving skills with a focus on business impact.
• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field.

• Experience working with product usage / telemetry data.
• Experience in SaaS or subscription‑based business models.
• Familiarity with customer lifecycle metrics (retention, LTV, engagement).
• Exposure to AI applications such as NLP, recommendation systems, or unstructured data analysis.
• Experience with data visualization tools (Tableau, Power BI).
• Strong stakeholder management and communication skills.

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.

For U.S.

-based roles, we expect a starting base salary between $112,000 and $200,860. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

At Autodesk, we’re building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic.

We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.