Senior Data Scientist, Customer Analytics

🕒 July 17

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $112k - $200.9k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

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, including advanced segmentation, pattern detection, and NLP where relevant • 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 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, including regression, classification, and clustering • Strong SQL skills and experience working with large-scale datasets • Solid understanding of customer analytics concepts, including churn modeling, segmentation, and 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, including retention, LTV, and engagement • Exposure to AI applications such as NLP, recommendation systems, or unstructured data analysis • Experience with data visualization tools such as Tableau and Power BI • Strong stakeholder management and communication skills

🏖️ Benefits

• Annual cash bonuses may be included • Stock grants may be included • Comprehensive benefits package • Health and financial benefits • Time away benefits • Everyday wellness benefits