Data Scientist II

PODS

. Develop and support optimization models for capacity planning, routing, scheduling, and resource allocation .

Posted 9/19/2026full-timeRemote • Florida • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and supporting optimization models, including capacity planning and resource allocation, while effectively communicating analytical findings through visualizations and decision-support tools. Proficient in building reproducible data pipelines and automating analyses using advanced data science techniques.

Highest-signal resume keywords

Data ScienceMachine LearningOptimization ModelingSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Optimization ModelsForecasting ModelsRegression ModelsClassification ModelsAnomaly Detection ModelsMixed-Integer Linear ProgrammingData ValidationFeature EngineeringData Pipeline AutomationPredictive Modeling

Soft Skills

Clear CommunicationAnalytical Problem SolvingDocumentation SkillsCollaboration

Tools & Technologies

GurobiPyomoOR-ToolsPuLPCPLEXSnowflakeAWS

Industry Keywords

Operations ResearchSupply ChainLogisticsCapacity PlanningQuantitative Analytics

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Full-time remote work
Climate-controlled office environment during normal business hours
Regular business hours
Negligible travel requirements