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Benefits offered by this job
Collaborative environment
Innovative use of AI/ML
Opportunity to impact business directly
Job summary
A leading HCM provider is seeking a skilled Data Scientist to develop and implement predictive models aimed at customer retention and revenue growth. You will leverage Databricks for building scalable data models, applying machine learning techniques, and translating complex data into actionable business insights. The ideal candidate has a Master's or PhD and over 3 years in data science, strong skills in Python and SQL, and experience in customer lifecycle analytics. This opportunity is located in Phoenix, Arizona.
Qualifications
Master's or PhD in a related field or equivalent industry experience.
3+ years of experience building predictive models in production.
Strong proficiency in Python and SQL.
Responsibilities
Design and deploy predictive models using Databricks.
Build scalable data pipelines in Databricks.
Translate analytical outputs into recommendations.
Skills
Python (pandas, scikit-learn, PySpark)
Customer lifecycle analytics
Databricks
SQL
Education
Master's or PhD in Data Science, Statistics, Computer Science
Tools
Databricks
MLflow
PySpark
Job description
A leading HCM provider is seeking a skilled Data Scientist to develop and implement predictive models aimed at customer retention and revenue growth. You will leverage Databricks for building scalable data models, applying machine learning techniques, and translating complex data into actionable business insights. The ideal candidate has a Master's or PhD and over 3 years in data science, strong skills in Python and SQL, and experience in customer lifecycle analytics. This opportunity is located in Phoenix, Arizona.