Senior Data Scientist, Customer Analytics

Autodesk, Inc.

Job Overview

Location

Oregon, USA - Remote

Job Type

Full-time

Full Job Description

📋 Description

• Analyze product usage and customer lifecycle data to identify behavioral patterns, segmentation opportunities, and growth drivers that influence product adoption and customer outcomes.
• Develop and deploy predictive models to forecast customer churn, retention, and expansion, using techniques such as regression, classification, and clustering.
• Build and refine customer health scores and predictive signals to enable proactive customer success strategies and reduce attrition.
• Apply advanced AI/ML techniques—including advanced segmentation, pattern detection, and NLP where applicable—to extract deeper insights from structured and unstructured data.
• Translate complex business questions from Customer Success, Product, and Go-to-Market teams into actionable data science frameworks and analytical solutions.
• Collaborate with BI teams to integrate predictive models and insights into dashboards, reporting tools, and operational systems for scalable decision-making.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders, ensuring alignment across departments on data-driven strategies.
• Partner directly with Customer Success and Product teams to identify opportunities to increase engagement, improve retention, and optimize the customer journey.
• Leverage large-scale datasets using SQL and programming languages (Python or R) to conduct end-to-end analysis from data extraction to model deployment.
• Stay current with emerging AI and analytics methodologies to enhance existing models and introduce innovative approaches to customer analytics.
• Ensure analytical outputs directly inform business decisions, with a consistent focus on measurable impact on customer outcomes and revenue growth.
• Work remotely from Oregon, USA, and collaborate across time zones with cross-functional teams to deliver insights aligned with organizational goals.

🎯 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)
• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field

🏖️ Benefits

• Starting base salary between $112,000 and $200,860, with offers potentially exceeding this range based on experience and location
• Annual cash bonuses and stock grants as part of total compensation
• Comprehensive health, financial, and wellness benefits
• Opportunities for professional growth and career development
• Remote work flexibility within the United States
• Inclusive and diverse workplace culture focused on belonging and equity

Skills & Technologies

Python

Data Science

Senior

Remote

Degree Required

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

Autodesk, Inc.

Visit Website

About Autodesk, Inc.

Autodesk, Inc. develops professional design, engineering, and entertainment software. Its flagship products include AutoCAD, Revit, Fusion 360, Maya, and 3ds Max, serving architecture, engineering, construction, manufacturing, media, and education sectors worldwide. Founded in 1982, the company provides cloud-based subscription services enabling digital design, simulation, visualization, and collaboration across project lifecycles. Headquartered in San Rafael, California, Autodesk operates globally, empowering customers to create sustainable infrastructure, products, and digital content through integrated software platforms and emerging technologies such as generative design, additive manufacturing, and building information modeling.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.