Job Description
Data Scientist
Job Responsibilities:
•Build and maintain univariate time series feature analysis
•Test and integrate new univariate time series models into IBP process
•Participate in the development and deployment of complex multivariate forecasting models
•Interface with IBP process representatives on model trouble shooting and new feature analysis
•Interface with analytical and subject matter experts throughout SHS organization in the pursuit of improved forecasting outcomes
•Provide expert consultation for focused reviews with management team when needed.
•Maintain documentation of and control framework for deployed models and tools
Skill Set:
Must Have
•7 to 10 years of experience
•3-5 years of experience with classic time series analysis tools (e.g. ARIMA, State Space Models, VAR, Error Correction Models etc.)
•3-5 years of experience with machine learning models including Decision Tree, Regression, Gradient Boosting, and Deep Learning
•3-5 years of experience of Python / R coding
•3-5 years of experience with SQL coding
•Experience in working on Azure tech stack
•Experience building and deploying production time series forecast models
•Experience managing code repositories.
•Experience in Decision Science area / Operations Research / Applied Mathematics, Statistics, Data Science or Computer Science.
•Knowledge on LLMs
Nice to have:
•6+ years of experience implementing and managing time series analysis and forecast models
•6+ years of experience implementing and managing machine learning models
•Experience working on projects in Supply Chain Management or Marketing analysis.
•Experience working with high volume time series forecasting
•Knowledge of In Vitro Diagnostics market space
•Experience building & deploying Structural Equation Models
•Experience utilizing MLFlow
•Experience working in SnowFlake
•Familiarity with Azure Databricks
•Familiarity with M Competition outcomes
•Experience in GenAI projects
•Masters in Economics, Operations Research, Applied Mathematics, Statistics, or Data Science
