Data Scientist II
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Job Description
Data Scientist II developing optimization, machine-learning, and automated workflow solutions. Improving PODS logistics capacity planning, routing, scheduling, and resource allocation.
Responsibilities:
- Develop and support optimization models for capacity planning, routing, scheduling, and resource allocation
- Formulate business problems using decision variables, objectives, and operational constraints
- Assist in root-cause analysis to identify optimization and automation opportunities across field operations
- Build, test, and maintain forecasting, regression, classification, and anomaly-detection models for operational problems
- Prepare and validate data, engineer features, and evaluate model results
- Build reproducible data pipelines and automate recurring analyses, model runs, and reporting
- Contribute to shared tooling, frameworks, and standards so solutions are repeatable
- Maintain data models in Snowflake used by analysts and downstream tools
- Create dashboards and decision-support tools that make results actionable
- Document logic, methodology, and assumptions alongside models, tools, and pipelines
- Present findings and limitations in plain language to the team and operational stakeholders
- Report to the Director, Operations Data Science & AI and partner with engineers and operational stakeholders
Requirements:
- Bachelor’s degree in a quantitative field such as Data Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Physics, Computer Science, Engineering, Economics, or a related field required
- Master’s degree preferred
- 3+ years of applied data science, machine learning, or quantitative analytics experience
- Relevant internship, co-op, or graduate research may count toward experience
- Hands-on experience formulating and solving mixed-integer linear programming models
- Experience with Gurobi, Pyomo, OR-Tools, PuLP, CPLEX, or a similar optimization library or solver required
- Strong SQL on a modern cloud data warehouse, preferably Snowflake
- Python for analysis and model development
- Experience building, testing, and validating forecasting, regression, classification, or other predictive models
- Experience building reproducible data pipelines and automating recurring analyses and model workflows
- Ability to communicate analytical and model outputs through clear visualizations and practical decision-support tools
- Ability to explain methods and results clearly and document work so it is reproducible and reviewable
- Ability to turn loosely defined operational problems into clear analytical questions and practical solutions
- Experience or coursework in machine learning and mathematical optimization
- Exposure to cloud-based data platforms such as Snowflake or AWS
- Experience supporting an Operations, Supply Chain, logistics, or other capacity-constrained business is a plus
- Ability to sit at a desk and use a computer for up to 8 hours a day
- Ability to use hands and fingers to type on a keyboard and use a mouse to navigate
- Vision sufficient to view small details on a computer monitor
- Ability to stand and walk up to 8 hours a day; ability to stoop, bend and lift boxes weighing up to 50 lbs.
- Ability to hear and verbally communicate using a telephone handset and/or connected headset device
- Regular attendance and punctuality required
- May be subject to pre-employment criminal background check and/or drug screening as well as random drug screenings in accordance with company policy
Benefits:
- Full-time remote work
- Climate-controlled office environment during normal business hours
- Regular business hours
- Negligible travel requirements
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