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Autodesk

Senior Data Scientist, Customer Analytics

Autodesk

Senior Data Scientist on Customer Analytics team, developing predictive models and insights for user behavior. Collaborating with Customer Success, Product, and Go-to-Market teams to improve product outcomes.

Posted 5/16/2026full-timeRemote • Oregon • 🇺🇸 United StatesSenior💰 $112,000 - $200,860 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Health and financial benefits
  • Time away and everyday wellness programs

ATS Keywords

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Hard Skills & Tools
PythonRpredictive modelingregressionclassificationclusteringSQLdata analysismachine learningAI
Soft Skills
analytical thinkingproblem-solvingcommunicationcollaborationstakeholder engagement