Position Purpose:
Shape the Future of Order Management at Home Depot with Data Science & Analytics
Are you a passionate data scientist eager to tackle complex challenges and drive business impact? We're seeking a Sr. Data Scientist to join our dynamic team and play a pivotal role in developing advanced data science and analytics order management capabilities. You'll lead high-impact projects, collaborate with cross-functional stakeholders, and develop data-enabled solutions that optimize inventory, drive confidence in order sourcing and fulfillment, and enhance Pro customer experiences. In this role, you will leverage state-of-the-art data science and machine learning techniques to develop robust optimization, risk propensity, and predictive models for seamless on-time and complete order fulfillment across our nationwide distribution network.
Lead Data Science Initiatives:
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Provide input to future staffing needs and participating in the recruiting and hiring process
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Mentor, manage, and guide junior data scientists as the team expands
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Collaborate with project/product managers to define data science projects, scope requirements, align success metrics, and set timelines
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Identify and prioritize business opportunities where data science can create competitive advantages
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Conceptualize, design, and build industry-leading data science solutions for complex project order management and execution
Data Analysis & Modeling:
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Deep dive into order management data, including inventory, sourcing, fulfillment, delivery, and customer behavior
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Develop, implement, and enhance machine learning models for automated and scaled inventory optimization, lead time prediction, risk scoring, personalization, and more
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Analyze data to identify trends, patterns, and anomalies, translating insights into actionable recommendations that inform decision making
Communication & Collaboration:
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Present data-driven insights and recommendations to senior leadership and business partners
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Effectively communicate the benefits, importance, and impact of proposed and/or developed data-enabled solutions to diverse stakeholders
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Collaborate with cross-functional teams (e.g., business, strategy, engineering, product) to ensure alignment and successful project execution
Key Responsibilities:
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40% -Design and develop algorithms and models to improve search and personalization; Establish scalable, efficient processes for large scale data analysis, model development and model implementation.
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20% -Present findings in easily understood ways and focuses on how data analytics fits into the bigger picture.
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20% -Communicate with product management, IT, and other business teams on problem definition and writing requirement documents for efficient model building and deployment.
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10% -Mentor and develop the technical and business skills of Data Scientists.
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10% -Define best practices and articulate a clear vision for how data analyses and model productionalization should be done.
Direct Manager/Direct Reports:
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This position reports to Sr Manager or Director HomeDepot.com.
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This position has 0 direct reports.
Travel Requirements:
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Typically requires overnight travel less than 10% of the time.
Physical Requirements:
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Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
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Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
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Must be eighteen years of age or older.
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Must be legally permitted to work in the United States.
Preferred Qualifications:
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PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
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6+ years of experience in business intelligence and analytics
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Expertise in Prescriptive Modeling, ideally relevant to order management (e.g., inventory optimization, lead time forecasting, personalization, advanced order clustering, issue and risk scoring via gradient boosting, etc.)
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Working knowledge of Microsoft Excel and Power Point
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Proficient in a modern scripting language (preferably Python)
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Proficient running queries against data (preferably with Google BigQuery or SQL)
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Proficient with data visualization software (preferably Tableau)
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Mastery utilizing statistical techniques to identify key insights that help solve business problems
Minimum Education:
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The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
Minimum Years of Work Experience:
Preferred Years of Work Experience:
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No additional years of experience
Minimum Leadership Experience:
Preferred Leadership Experience:
Certifications:
Competencies:
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Strong communication and data presentation skills; ability to communicate with data-driven stories
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Ability to quickly adapt to new technologies, tools and techniques
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Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines
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Ability to work with technical and non-technical team members