Data Scientist

Job description

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:

• 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