Data Scientist (Azure/Databricks/Python)

Title: Data Scientist (Azure/Databricks/Python) Location: Deerfield, IL (Days onsite negotiable during contract, then ~4 days/week to convert to FTE) Duration & Type: Initial 6-month Contract with chance for extension or conversion Compensation: Competitive hourly W2 rate ($52.50-53.31), Access to Healthcare & Dental Insurance Plan of Choice (details available upon request) Summary Chamberlain 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 sits within a high-impact analytics team and requires strong ownership across the full data lifecycle — from ingestion and modeling through production deployment and monitoring. The ideal candidate brings a strong statistical foundation, deep hands-on experience with Azure Databricks and Python, and demonstrated success building and supporting production-grade machine learning pipelines at scale. This individual must be comfortable operating in complex, ambiguous problem spaces and capable of translating advanced analytics into measurable business outcomes. Click Apply Now to join the Chamberlain experience. Ideal Candidate • Self-directed and comfortable navigating ambiguity. • Strong ownership mindset across full model lifecycle. • Ability to balance speed with engineering rigor. • Continuous improvement mindset — willing to refactor and modernize legacy systems. • Strong written and verbal communication skills. What You Will Be Accountable For • 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. What Qualifications You Need • 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 • Feature engineering • 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) • Tree-based models (Random Forest, XGBoost, LightGBM) • 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) Why Join Right Now? Our fortune client seeks innovative and intelligent individuals to join their team. Here is your opportunity to join one of the largest healthcare and retail pharmacy companies in the U.S, with more than 10 million customers, over 8,000 retail stores, and a presence in multiple countries. Our client is constantly creating groundbreaking ways to meet customer needs, improve their health, and be a force for good in the world. This is your chance to work in a truly supportive environment and be a part of a progressive organization dedicated to the well-being of their customers, team members, and communities. Why Work with Chamberlain? Chamberlain Advisors is a veteran-owned business that provides human capital solutions across a wide range of industries and engagement types. Chamberlain candidates benefit from our unique hiring and interviewing process which has been designed to increase the likelihood that they will be successful in their job searches. This is achieved through our 5-step recruitment process, ensuring a top-of-the-line candidate experience. Find out what makes us different; apply to Chamberlain today. Equal Employment Opportunity Chamberlain Advisors provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Chamberlain Advisors complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Chamberlain Advisors expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Chamberlain Advisors' employees to perform their job duties may result in discipline up to and including discharge.