[Remote] Senior Data Scientist, Customer Analytics

Note: The job is a remote job and is open to candidates in USA. Autodesk is a software company seeking a Senior Data Scientist for its Customer Analytics team within Customer Success. The role focuses on predictive analytics, customer behavior, churn and expansion modeling, product adoption, and translating complex data into actionable recommendations for business and customer outcomes.

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

• 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
• 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

Benefits

• Health benefits
• Financial benefits
• Time away
• Everyday wellness
• Annual cash bonuses may be included in the compensation package
• Stock grants may be included in the compensation package
• A comprehensive benefits package may be included in the compensation package

Company Overview

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