Senior Data Scientist – Supply Chain

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Spearhead forward-thinking analytics projects related to time series forecasting, demand in the supply chain, purchasing, and inventory optimization.

• Create and implement tailored forecasting and optimization models.

• Enhance demand precision, guide purchasing choices, optimize inventory levels, and improve supply chain replenishment.

• Investigate data sources, cleanse datasets, engineer features, and establish baseline models.

• Independently design and develop forecasting, optimization, and machine learning models across various projects.

• Construct, execute, and iterate advanced machine learning and deep learning models to address supply chain challenges.

• Collaborate with stakeholders across departments and present data science solutions in an iterative fashion.

• Manage model development from the initial concept through to implementation, including ML pipelines, documentation, model drift, and strategies for remodeling.

• Provide mentorship to Associate Data Scientists and Data Scientists.

• Coordinate with the ML team regarding deployment challenges, resource needs, model deployment, and retraining efforts.

• Assume or delegate responsibility for critical stakeholder tickets and issues.

• Navigate codebases for troubleshooting, debugging, and enhancing code quality.

• Contribute to coding standards and uphold robust coding practices.

• Develop and maintain documentation for ML models, data sources, and methodologies.

• Assist with the creation of feasibility documents.

• Engage in R&D activities and propose or implement improvements to processes and methodologies.

• Share expertise through internal team presentations and workshops.

• Guide Scrum, Kanban, and other development methodologies in collaborative projects.

⛳️ Requirements

• A Master’s degree in data science, mathematics, computer science, statistics, or a related field with 3+ years of experience, or a Bachelor's degree with 6+ years of experience in data science.

• Strong written, verbal, and interpersonal communication skills.

• Advanced understanding of classification, regression, clustering, dimensionality reduction, association rule learning, bagging, boosting, neural networks, deep learning, model evaluation and metrics, cross-validation, hyperparameter tuning, optimization algorithms, and natural language processing.

• Practical knowledge of Agile/SCRUM methodologies with 1-2 years of experience.

• A keen interest in exploring the latest advancements in the field, including LLM and Generative AI models.

• Ability to foresee deployment challenges, data latency issues, algorithm suitability, and mathematical details or assumptions.

• At least 1+ years of experience working with a primary cloud platform, developing ML models from data exploration to deployment.

• Familiarity with managing large datasets in a cloud setting.

• Understanding of APIs and Continuous Integration/Continuous Deployment (CI/CD).

• Knowledge of DevOps and MLOps principles.

• Over 1 year of experience writing production-quality code in Bash, Python, and SQL.

• Capability to navigate a data lake environment while generating training datasets or feature stores.

• Proficiency in creating, deploying, and troubleshooting containers for ML modeling.

• More than 1 year of experience with version control systems or concepts such as Git.

• Ability to investigate and research ML frameworks, algorithms, datasets, and feature stores.

• Capacity to offer macro-level thought leadership to junior Data Scientists.

• Preferred: 2 years of experience in supply chain analytics.

• Preferred: Over 1 year of experience in Optimization & Operations Research with production-grade optimization modeling languages like Gurobi, Pyomo, or PuLP.

🏝️ Benefits

• Annual incentive plan bonus program.

• Health insurance coverage.

• Pre-tax spending accounts.

• Retirement benefits.

• Paid time off.

• Short-term and long-term disability coverage.

• Employee stock purchase program.

• Life insurance.