> Markdown version of [/jobs/ext/2943102-senior-data-scientist-customer-analytics](https://www.wearedevelopers.com/jobs/ext/2943102-senior-data-scientist-customer-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Scientist, Customer Analytics

- **Company:** Autodesk
- **Location:** Portland, OR, United States (Remote available)
- **Experience:** Expert
- **Salary:** $112,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Software as a Service, Cluster Analysis, Data Visualization, Database Queries, Python (Programming Language), Machine Learning, Pattern Recognition, Recommender Systems, Power BI, Tableau (Software), Unstructured Data, Information Technology, Data Analytics
- **Published:** September 16, 2026
- **Apply:** https://dejobs.org/x/x/625D05E98E8742EB97DCA01BF64AF5D9/job/

## About the Role

* 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

Preferred Qualifications

 * 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

## Description

We are seeking a Senior Data Scientist to join our Customer Analytics team within the Customer Success organization. This team plays a critical role in measuring the health of the business and delivering insights that inform strategy, improve decision-making, and drive customer outcomes.

In this role, you will focus on predictive analytics across product usage and the customer lifecycle. You will develop models and insights to better understand user behavior, predict churn and expansion opportunities, and identify strategies to improve product adoption, retention, and overall customer success. You will also bring familiarity with emerging AI techniques to enhance analytical approaches and uncover new value from data. You will collaborate closely with Customer Success, Product, and Go-to-Market teams to translate complex data into clear, actionable recommendations that support business growth and improve the customer experience.

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


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)