Senior Data Scientist, Customer Analytics

Autodesk

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
OR
Salary
$112,000–$200,860 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $167k
This role $156k
$99k most similar roles pay here $233k

This role pays less than 65% of similar roles. Most pay $132,500–$201,125 — the shaded band above. At the midpoint, this role pays about $156k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About Autodesk

Autodesk is a global leader in 3D design, engineering, and entertainment software, enabling users to imagine, design, and create a better world.

Autodesk currently has 11 open roles on FindRole.

Listed pay typically runs $139,000–$249,260 across 11 roles with salary data.

Most-posted roles

View all roles at Autodesk

At a glance

TL;DR · Senior Data Scientist, Customer Analytics

Senior Data Scientist, Customer Analytics joins the Customer Success team to measure business health and deliver insights that inform strategy and improve customer outcomes. This role focuses on predictive analytics across product usage and the customer lifecycle, where you will develop models to understand user behavior, predict churn and expansion opportunities, and identify strategies for improved adoption and retention. You will build customer health scores and apply AI/ML techniques like advanced segmentation and NLP to uncover new value from data. The position requires proficiency in Python or R, strong SQL skills for large-scale datasets, and experience with regression, classification, and clustering. Working within a SaaS and subscription-based business model, you will translate complex product usage and telemetry data into actionable recommendations to enhance engagement and solve critical customer success challenges.

What does a Data Scientist earn in Remote?

Median $194500 from 34 postings across 18 companies.

See salary data

What you'll do

  • Develop predictive models to analyze customer churn, retention, expansion, and product adoption.
  • Analyze product usage data to identify behavioral patterns and segmentation opportunities.
  • Apply AI/ML techniques to enhance insights from customer lifecycle data.
  • Generate actionable recommendations based on complex analyses for business decisions.
  • Translate business questions into analytical frameworks and data science solutions.
  • Build customer health scores and predictive signals for proactive success strategies.

What we're looking for

  • 5–7+ years of experience in Data Science, Advanced Analytics, or similar roles.
  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Strong proficiency in Python (preferred) or R for data analysis and modeling.
  • Hands-on experience with predictive modeling techniques such as 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 and AI techniques applied to business problems.
  • Experience with product usage data, SaaS models, or data visualization tools (preferred).

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