Chamberlain Advisors ยท 22 hours ago
Sr. Data Scientist (Azure / Databricks / Python)
Deerfield, IL
Contract
Hybrid
Senior Level
$52.35/hr - $52.70/hr
5+ years expChamberlain Advisors is seeking a Sr. Data Scientist to support advanced analytics and machine learning initiatives for their clients team. This role is responsible for designing, developing, and operationalizing scalable data science solutions on the Azure cloud platform, with a strong emphasis on Azure Databricks and Python-based analytics.
Staffing & Recruiting
Responsibilities
Apply statistical analysis and machine learning techniques to solve complex business problems using large, high-dimensional datasets
Perform feature engineering and select appropriate modeling approaches based on data characteristics and business context
Design, train, validate, and evaluate machine learning models using metrics such as AUC, precision/recall, RMSE, and related measures
Build and maintain time-series forecasting models using approaches such as ARIMA, Prophet, or machine learning-based forecasting methods
Conduct hyperparameter tuning, cross-validation, and model performance optimization
Provide model interpretability using techniques such as SHAP and feature importance
Develop data science solutions using Azure Databricks as the primary analytics and modeling platform
Leverage Spark and Spark SQL to process and analyze large-scale datasets efficiently
Design, build, and maintain scalable ETL and ELT pipelines in Databricks
Write performant SQL to support analytics, data validation, reconciliation, and quality checks
Implement data quality monitoring, anomaly detection, and validation across datasets ranging from millions to billions of records
Support and maintain machine learning models in production environments, including monitoring and troubleshooting
Collaborate with engineering, platform, and product teams to deploy and operationalize data science solutions
Refactor and modernize legacy pipelines and models to improve performance, scalability, and maintainability
Document models, pipelines, assumptions, and known limitations
Qualification
Required
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field, or equivalent practical experience
Typically 5 to 7 years of relevant experience in data science, advanced analytics, or machine learning roles
Strong proficiency in Python for data analysis, machine learning, and production-grade code
Solid understanding of statistics, probability, feature engineering, and model evaluation techniques
Hands-on experience with Azure for data science and analytics workloads
Strong familiarity with Azure Databricks for data processing, model development, and production pipelines
Experience developing machine learning models including regression models, tree-based models such as Random Forest, XGBoost, and LightGBM, and time-series models such as ARIMA or Prophet
Strong SQL skills for analytical queries, data validation, reconciliation, and data quality checks
Demonstrated experience working with large-scale datasets in distributed computing environments
Strong analytical thinking and problem-solving skills
Ability to clearly communicate technical concepts and findings to both technical and non-technical stakeholders
Self-directed, proactive, and comfortable operating in ambiguous problem spaces
Preferred
Experience with MLOps practices, including model versioning, retraining strategies, and monitoring
Experience with performance tuning and optimization in distributed data environments
Experience working in regulated or enterprise environments
Domain experience in retail, supply chain, healthcare, or related industries
Benefits
Access to Healthcare and 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