Data Scientist, Pricing, Optimization, Deep Learning

This is a fully remote position, open to applicants in Alaska, +31 more states.

📋 Description

• Collaborate on price optimization strategies informed by anticipated outcomes of pricing and promotions.

• Spearhead data science projects aimed at enhancing business profitability, boosting efficiencies, and elevating customer experience.

• Aid in the development of The Home Depot's advanced analytics framework that supports informed decision-making.

• Utilize advanced analytical techniques and algorithms to uncover trends and propose business solutions.

• Create and refine algorithms and models using extensive datasets to generate business insights.

• Act as a technical lead for analytics initiatives and may independently manage smaller projects.

• Choose, apply, and interpret advanced analytical methods.

• Convey insights and recommendations effectively to both technical and non-technical stakeholders and business partners.

• Compile reports, updates, and presentations regarding the status of projects or solutions.

• Work in partnership with internal clients, cross-functional teams, project teams, and business partners to establish project objectives.

• Investigate advancements in data science, technical skill sets, and additional data sources.

• Create replicable solutions, documentation, process flowcharts, and reusable libraries for algorithms.

⛳️ Requirements

• Must be at least eighteen years old.

• Must have legal authorization to work in the United States.

• Skilled in Linear Optimization tools (Gurobi is preferred).

• Previous experience in developing Optimization and Deep Learning solutions in a professional setting.

• Over 3 years of experience in business intelligence and analytics.

• PhD in a quantitative discipline is preferred (e.g., Computer Science, Mathematics, Statistics).

• Proficient in Python and SQL programming languages.

• Expertise in employing statistical techniques to extract key insights that address business challenges.

• Proven ability in predictive modeling, including optimization, forecasting, or recommendations.

• Demonstrated experience in predictive modeling, data mining, and data analysis.

• Bachelor’s degree or equivalent qualification in a relevant field of study.

🏝️ Benefits

• Health care benefits.

• 401K plan.

• Employee Stock Purchase Plan (ESPP).

• Paid time off.

• Success sharing bonus.