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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing advanced machine learning models for supply chain analytics, with a strong focus on forecasting, optimization, and data-driven decision-making. Proficient in collaborating with cross-functional teams and mentoring junior data scientists while adhering to best practices in coding and model deployment.
Highest-signal resume keywords
Machine Learning Model DevelopmentSupply Chain AnalyticsPython ProgrammingAgile/SCRUM MethodologiesData Science Mentorship
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Forecasting ModelsOptimization AlgorithmsDeep LearningClassificationRegressionSQLBashFeature EngineeringModel EvaluationHyperparameter Tuning
Soft Skills
Effective CommunicationIntellectual CuriosityProblem-SolvingCollaborationMentoring
Tools & Technologies
Cloud PlatformsAPIsCI/CDVersion Control (Git)Data Lake Environments
Industry Keywords
Supply Chain DemandInventory OptimizationMLOpsDevOpsOperations Research
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Lead forward-looking analytics initiatives across time series forecasting, supply chain demand, buying, and inventory optimization
- Develop and productionalize customized forecasting and optimization models
- Improve demand accuracy, inform buying decisions, right-size inventory, and enhance supply chain replenishment
- Research data sources, cleanse data, engineer features, and create baseline models
- Independently formulate and develop forecasting, optimization, and machine learning models across multiple projects
- Design, implement, and refine advanced ML and deep learning models for supply chain problems
- Collaborate with cross-functional stakeholders and present data science solutions iteratively
- Own model development from inception through implementation, including ML pipelines, documentation, model drift, and remodeling strategy
- Mentor Associate Data Scientists and Data Scientists
- Coordinate with the ML team on deployment issues, resource requirements, model deployment, and retraining
- Take or delegate ownership of critical stakeholder tickets and issues
- Navigate codebases for troubleshooting, debugging, and code improvement
- Contribute to coding standards and enforce sound coding practices
- Create and maintain documentation for ML models, data sources, and methodologies
- Assist with feasibility documents
- Participate in R&D and recommend or implement process improvements and methodologies
- Share knowledge through internal team presentations and workshops
- Guide Scrum, Kanban, and other development methodologies in group projects
Requirements
What you’ll need- Master’s degree in data science/mathematics/CS/statistics or similar field and 3+ years of experience OR Bachelor's degree and 6+ years of experience in data science
- Effective written, verbal, and interpersonal communication skills
- Expert-level 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 NLP
- Working knowledge of Agile/SCRUM methodologies with 1-2 years of experience
- Intellectual curiosity to investigate the latest developments in the field, including LLM/Generative AI models
- Ability to anticipate deployment limitations, data latency, algorithm appropriateness, and mathematical details/assumptions
- At least 1+ years of working with a major cloud platform, creating ML models from data exploration to deployment
- Working knowledge of handling large datasets in a cloud environment
- Working knowledge of APIs and CI/CD
- Understanding of DevOps and MLOps principles
- 1+ years of writing production-grade code in Bash, Python, and SQL
- Ability to navigate a data lake environment while creating training datasets or feature stores
- Skills in creating, deploying, and troubleshooting containers for ML modeling
- 1+ years of experience with version control systems/concepts such as Git
- Ability to investigate/research ML frameworks, algorithms, datasets, and feature stores
- Capability to provide macro-level thought leadership to junior Data Scientists
- Preferred: 2 years of supply chain analytics experience
- Preferred: 1+ year of Optimization & Operations Research experience with production-grade optimization modeling languages such as Gurobi, Pyomo, or PuLP
Benefits
Comp & perks- Annual incentive plan bonus program
- Health insurance
- Pre-tax spending accounts
- Retirement benefits
- Paid time off
- Short-term and long-term disability
- Employee stock purchase plan
- Life insurance