Chamberlain Advisors · 2 hours ago
Data Scientist (Azure/Databricks/Python)
Deerfield, IL
Contract
Hybrid
Senior Level
$52.50/hr - $53.31/hr
5+ years expChamberlain Advisors is partnering with a large, enterprise pharmaceutical retail organization to identify a highly skilled Data Scientist to design, develop, and deploy scalable machine learning solutions within a modern Azure cloud environment. This role requires strong ownership across the full data lifecycle and involves applying statistical analysis and machine learning techniques to solve complex business problems.
Staffing & Recruiting
Responsibilities
Apply statistical analysis and machine learning techniques to solve complex, high-dimensional business problems
Perform feature engineering and select appropriate modeling strategies aligned to business objectives
Develop, train, validate, and evaluate predictive models using appropriate performance metrics (AUC, precision/recall, RMSE, etc.)
Apply statistical analysis, feature engineering, and machine learning techniques to solve complex, high-dimensional business problems and develop predictive and time-series models (ARIMA, Prophet, ML-based approaches), leveraging proper evaluation metrics (AUC, precision/recall, RMSE), hyperparameter tuning, cross-validation, and model explainability methods (SHAP, feature importance)
Design and implement scalable analytics and modeling workflows in Azure Databricks using Spark (DataFrames, Spark SQL), optimizing compute performance for large-scale distributed datasets
Build, maintain, and modernize scalable ETL/ELT pipelines in Databricks, including incremental processing with Delta Lake, high-performance SQL for validation and reconciliation, and robust data quality monitoring and anomaly detection across millions to billions of records
Deploy, monitor, and support machine learning models in production environments, collaborating with engineering teams to operationalize solutions and ensure governance, reliability, and documentation of models and dependencies
Generate and test hypotheses through structured experimentation and product analysis, provide BI and dashboard support as needed, and partner with cross-functional stakeholders to translate business requirements into scalable analytics solutions
Demonstrate full lifecycle ownership from data ingestion through modeling, deployment, monitoring, and continuous improvement, clearly communicating insights and trade-offs to both technical and non-technical audiences
Qualification
Required
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or related quantitative field
5–7 years of relevant data science experience
Strong proficiency in Python for analytics and production code
Solid foundation in statistics and probability
Solid foundation in feature engineering
Solid foundation in model evaluation techniques (AUC, precision/recall, RMSE, etc.)
Hands-on experience with Azure for data science workloads
Strong familiarity with Azure Databricks
Experience developing regression models (linear and regularized)
Experience developing tree-based models (Random Forest, XGBoost, LightGBM)
Experience developing time-series forecasting models (ARIMA, Prophet, ML-based approaches)
Strong SQL expertise for analytical and validation queries
Experience working with large-scale distributed datasets
Experience with performance tuning in distributed environments
Exposure to MLOps practices (model versioning, retraining, monitoring)
Experience in enterprise or regulated environments
Domain exposure in retail, supply chain, or related industries
Experience supporting online dashboards or BI visualization tools (e.g., Tableau, Power BI)
Benefits
Access to Healthcare & Dental Insurance Plan of Choice
Company
Chamberlain Advisors
Chamberlain is a talent acquisition firm for organizations that seek human capital differentiation.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Brad Thomas
Managing Partner, Executive Search
Company data provided by crunchbase