Data Scientist II

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

📋 Description

• Design and enhance optimization models for capacity planning, routing, scheduling, and resource distribution.

• Define business challenges utilizing decision variables, objectives, and operational constraints.

• Support root-cause analysis to uncover opportunities for optimization and automation within field operations.

• Create, test, and sustain forecasting, regression, classification, and anomaly-detection models for operational challenges.

• Prepare and verify data, engineer features, and assess model outcomes.

• Develop reproducible data pipelines and automate ongoing analyses, model executions, and reporting tasks.

• Contribute to shared tools, frameworks, and standards to ensure solutions are replicable.

• Manage data models in Snowflake that are utilized by analysts and downstream applications.

• Generate dashboards and decision-support tools that translate results into actionable insights.

• Document logic, methodologies, and assumptions related to models, tools, and pipelines.

• Communicate findings and limitations in straightforward language to the team and operational stakeholders.

• Report to the Director of Operations Data Science & AI while collaborating with engineers and operational stakeholders.

⛳️ Requirements

• A Bachelor's degree in a quantitative discipline such as Data Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Physics, Computer Science, Engineering, Economics, or a related field is mandatory.

• A Master's degree is preferred.

• Minimum of 3 years of practical experience in data science, machine learning, or quantitative analytics.

• Relevant internships, co-op experiences, or graduate research may be considered as part of the experience.

• Practical experience in formulating and solving mixed-integer linear programming models is essential.

• Proficiency in Gurobi, Pyomo, OR-Tools, PuLP, CPLEX, or similar optimization libraries or solvers is required.

• Strong SQL skills on a modern cloud data warehouse, ideally Snowflake.

• Proficient in Python for analysis and model development.

• Experience in building, testing, and validating forecasting, regression, classification, or other predictive models.

• Proven ability to create reproducible data pipelines and automate ongoing analyses and model workflows.

• Capable of conveying analytical and model outputs through clear visualizations and practical decision-support tools.

• Ability to articulate methods and results clearly and document work to ensure reproducibility and reviewability.

• Skillful in transforming vaguely defined operational issues into precise analytical questions and practical solutions.

• Familiarity with machine learning and mathematical optimization through experience or coursework.

• Exposure to cloud-based data platforms such as Snowflake or AWS is a plus.

• Experience supporting Operations, Supply Chain, logistics, or other capacity-constrained businesses is advantageous.

• Must be able to sit at a desk and use a computer for up to 8 hours daily.

• Ability to use hands and fingers for typing on a keyboard and navigating with a mouse.

• Sufficient vision to view small details on a computer monitor.

• Capacity to stand and walk for up to 8 hours daily; ability to stoop, bend, and lift boxes weighing up to 50 lbs.

• Must be able to hear and communicate verbally using a telephone handset and/or connected headset device.

• Regular attendance and punctuality are required.

• May be subject to pre-employment criminal background checks and/or drug screenings, as well as random drug screenings in accordance with company policy.

🏝️ Benefits

• Full-time remote work opportunity.

• Climate-controlled office environment during standard business hours.

• Regular business hours with minimal travel requirements.