Senior Data Scientist, Customer Analytics

🔥 7 minutes ago

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $112k - $200.9k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

📱 Media

Architecture • Engineering • Media

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• 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

• 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

• health and financial benefits • time away and everyday wellness