Data Scientist - Supply Chain

Home Depot • Atlanta, GA

1d

About The Position

The Data Scientist supports data science initiatives that drive business profitability, increase efficiencies, and improve customer experience. The role applies advanced analytical methodologies to large datasets to extract meaningful business insights and solve business problems. Data Scientists develop and document code in a library of reusable algorithms and may specialize in areas such as optimization, computer vision, recommendation, search, or NLP.

The position identifies trends, develops business solutions, and presents insights and recommendations to technical and non-technical audiences, explaining the benefits and impacts of proposed solutions. It also requires collaboration with business partners and cross-functional teams, effective communication, relationship building, and an understanding of the business area being supported. The position typically reports to a Manager or above and has no direct reports. It typically requires overnight travel less than 10% of the time.

Requirements

• Must be at least 18 years of age.
• Must be legally permitted to work in the United States.
• Bachelor's degree or equivalent in a field of study related to the job.
• At least 3 years of work experience.

Nice To Haves

• Master's degree in a quantitative field such as Computer Science, Math, or Statistics, or equivalent work experience.
• 4 or more years of experience in business intelligence and analytics.
• Working knowledge of Microsoft Excel and PowerPoint.
• Experience with a modern scripting language, preferably Python.
• Proficiency running data queries, preferably with Google BigQuery or SQL.
• Proficiency with data visualization software, preferably Tableau.
• Proficiency using statistical techniques to identify key insights that help solve business problems.
• Knowledge of prescriptive modeling, such as optimization, computer vision, recommendation, search, or NLP.
• Demonstrated experience in predictive modeling, data mining, and data analysis.

Responsibilities

• Design and develop algorithms and models for large datasets to generate business insights.
• Participate in large data analytics project teams as a technical lead; may lead small projects and independently develop solutions.
• Execute tasks efficiently and with high quality, selecting, using, and interpreting appropriate advanced analytical methodologies.
• Communicate insights and recommendations to technical and non-technical leaders, business customers, and partners.
• Present recommendations confidently to influence execution, and prepare project or solution progress reports, updates, and presentations.
• Clearly communicate the impacts of recommendations to build alignment and support implementation.
• Incorporate business knowledge into solution approaches and build trust and collaboration with internal customers and cross-functional teams.
• Work with project teams and business partners to determine project goals.
• Develop knowledge of data science developments, technical skills, and additional data sources.
• Contribute to continuous improvement by developing replicable solutions, such as codified data products, project documentation, and process flowcharts.
• Build and maintain a library of reusable algorithms and document developed code so solutions can be leveraged in future projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level