Chamberlain Advisors · 1 week ago
Data Scientist (Databricks / Python / PySpark)
Chamberlain Advisors is seeking a Data Scientist to support a high-priority supply chain optimization and demand forecasting initiative within a large, enterprise retail and healthcare organization. This role focuses on applying advanced analytics, machine learning, and time-series forecasting techniques to improve inventory planning, drug demand forecasting, and operational decision-making across the supply chain.
Staffing & Recruiting
Responsibilities
Apply statistical analysis, data analytics, and machine learning techniques to solve complex business problems related to supply chain optimization and forecasting
Perform exploratory data analysis and feature engineering on large, high-dimensional datasets
Design, build, and evaluate time-series forecasting models and predictive models to support inventory and demand planning
Develop and refine tree-based machine learning models (e.g., XGBoost) and other analytical approaches as appropriate
Utilize Python, PySpark, and SQL within Databricks to process and analyze large-scale datasets
Respond to frequent ad-hoc analytical and reporting requests from business stakeholders
Validate model performance and interpret results for both technical and non-technical audiences
Collaborate with data engineering, analytics, and business teams to operationalize insights
Document analytical approaches, assumptions, and findings clearly and concisely
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, or a related field
5–7 years of experience in data science, advanced analytics, or applied machine learning roles
Strong proficiency in Python for data analysis and modeling
Hands-on experience with Databricks in a cloud environment
Strong PySpark and SQL skills for large-scale data processing and analytics
Experience building time-series forecasting models and applied machine learning solutions
Solid understanding of statistics, probability, and model evaluation techniques
Ability to clearly communicate analytical findings to business and technical stakeholders
Self-directed, adaptable, and comfortable working in a fast-paced, request-driven environment
Preferred
Experience with Azure-based data platforms
Familiarity with supply chain, inventory optimization, retail, or healthcare data
Exposure to MLOps concepts such as model monitoring and retraining
Experience working in large enterprise or regulated environments
Benefits
Access to Healthcare & Dental Insurance Plan of Choice