Senior Data Scientist, Customer Analytics & Retention

autodesk; Oregon; On-site; USD 112,000 - 201,000; Full time

Job summary

Autodesk is seeking a Senior Data Scientist to join its Customer Analytics team within Customer Success in Oregon. You will develop predictive models and health scores to understand user behavior, predict churn and expansion, and influence product adoption and retention.

Collaborate with cross-functional teams to translate data into actionable recommendations. The role emphasizes applying advanced analytics and emerging AI techniques to drive customer outcomes and business growth, with a focus

Qualifications

• 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).
• Working knowledge of 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

Responsibilities

• 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

Skills

Python

SQL

Predictive modeling

Data analysis

Churn modeling

Statistics

Machine learning

Communication

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field

Job description

Autodesk is seeking a Senior Data Scientist to join its Customer Analytics team within Customer Success in Oregon. You will develop predictive models and health scores to understand user behavior, predict churn and expansion, and influence product adoption and retention.

Collaborate with cross-functional teams to translate data into actionable recommendations. The role emphasizes applying advanced analytics and emerging AI techniques to drive customer outcomes and business growth, with a focus