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Senior Data Scientist, Customer Analytics
AutodeskSenior 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 & technologiesPythonSQL
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonRpredictive modelingregressionclassificationclusteringSQLdata analysismachine learningAI
Soft Skills
analytical thinkingproblem-solvingcommunicationcollaborationstakeholder engagement