CX Data Scientist Volvo Cars
Core
Turn customer data into actionable insights to improve experience, retention, and business outcomes by building models and embedding Voice of the customer intelligence.
Role type
Senior IC data scientist (customer experience & AI)
Builds
Predictive models for CX outcomes (NPS, churn), next-best-action models, analytical products for customer journey analysis, and scalable frameworks for friction scoring.
Domain
Automotive industry, customer experience, AI/ML
Deliverable
production ML models | product features
Required skills
supervised and unsupervised learning, statistics, hypothesis testing, experimental design, NLP, text analytics, topic modelling, sentiment analysis, Python, pandas, scikit-learn, SQL, Azure, Snowflake, dbt, Databricks
Preferred skills
A/B testing, causal inference, model monitoring in production, uplift analysis, ROI measurement
Technologies
Python, pandas, scikit-learn, spaCy, NLTK, transformers, SQL, Azure, Snowflake, dbt, Databricks
Responsibilities
Develop predictive models to forecast key CX outcomes; Design next-best-action models to guide operational and CX decision-making; Model relationships between CX metrics and broader business outcomes; Develop and deploy analytical products for end-to-end customer journey analysis; Design and build & evaluate experiments and A/B tests to measure CX improvements; Build scalable analytical frameworks (e.g. journey friction scoring, driver models)
Seniority
Senior, hands-on IC
