Data Scientist II

🔥 5 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PODS

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏨 Hospitality

🏗️ Construction

✈️ Travel

💰 Seed on 2022-01

Hospitality • Construction • Travel

PODS is a moving and storage company offering portable, weather-resistant containers delivered to customers' locations for DIY packing, monthly rental, and optional storage at secure, climate-controlled Storage Centers. They provide various container sizes (8', 12', 16'), ground-level loading, tie-downs, and optional professional loading/unloading assistance, and support local and long-distance moves, storage-only services, financing, and online move management.

📋 Description

• 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