Churn & Upsell Data Scientist | Databricks ML

isolved; Phoenix (AZ); Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Collaborative work environment

Opportunities for innovation

Access to advanced AI/ML technology

Job summary

A leading HCM solutions provider in Arizona is seeking an experienced Data Scientist to develop predictive models that drive customer retention and upselling. This role leverages advanced machine learning and big data capabilities within Databricks. Ideal candidates will have strong Python and SQL skills, a Master's or PhD in a relevant field, and at least 3 years of experience in a production setting. The company fosters a collaborative environment promoting innovation and data-driven decision-making.

Qualifications

• 3+ years of experience building predictive models in a production environment.
• Demonstrated expertise using Databricks for data manipulation and ML.
• Strong understanding of customer lifecycle analytics including churn modeling.

Responsibilities

• Design and deploy predictive models for customer churn and upsell propensity.
• Evaluate and compare algorithms to optimize predictive performance.
• Collaborate with data engineers to ensure proper data ingestion and governance.

Skills

Python (pandas, scikit-learn, PySpark)

Data modeling

Statistical analysis

Machine learning

SQL

Data visualization

Education

Master's or PhD in Data Science, Statistics, or Computer Science

Tools

Databricks

MLflow

PySpark

Delta Lake

Job description

A leading HCM solutions provider in Arizona is seeking an experienced Data Scientist to develop predictive models that drive customer retention and upselling. This role leverages advanced machine learning and big data capabilities within Databricks. Ideal candidates will have strong Python and SQL skills, a Master's or PhD in a relevant field, and at least 3 years of experience in a production setting. The company fosters a collaborative environment promoting innovation and data-driven decision-making.