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: Provide input to future staffing needs and participating in the recruiting and hiring process Mentor, manage, and guide junior data scientists as the team expands Collaborate with project/product managers to define data science projects, scope requirements, align success metrics, and set timelines Identify and prioritize business opportunities where data science can create competitive advantages Conceptualize, design, and build industry-leading data science solutions for complex project order management and execution Data Analysis & Modeling: Deep dive into order management data, including inventory, sourcing, fulfillment, delivery, and customer behavior Develop, implement, and enhance machine learning models for automated and scaled inventory optimization, lead time prediction, risk scoring, personalization, and more Analyze data to identify trends, patterns, and anomalies, translating insights into actionable recommendations that inform decision making Communication & Collaboration: Present data-driven insights and recommendations to senior leadership and business partners Effectively communicate the benefits, importance, and impact of proposed and/or developed data-enabled solutions to diverse stakeholders Collaborate with cross-functional teams (e.g., business, strategy, engineering, product) to ensure alignment and successful project execution Key Responsibilities: 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. 20% -Present findings in easily understood ways and focuses on how data analytics fits into the bigger picture. 20% -Communicate with product management, IT, and other business teams on problem definition and writing requirement documents for efficient model building and deployment. 10% -Mentor and develop the technical and business skills of Data Scientists. 10% -Define best practices and articulate a clear vision for how data analyses and model productionalization should be done. Direct Manager/Direct Reports: This position reports to Sr Manager or Director HomeDepot.com. This position has 0 direct reports. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: 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: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: PhD in a quantitative field (Computer Science, Math, Statistics, etc.) 6+ years of experience in business intelligence and analytics 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.) Working knowledge of Microsoft Excel and Power Point Proficient in a modern scripting language (preferably Python) Proficient running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Minimum Education: 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: No additional education Minimum Years of Work Experience: 5 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Strong communication and data presentation skills; ability to communicate with data-driven stories Ability to quickly adapt to new technologies, tools and techniques Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines Ability to work with technical and non-technical team members #J-18808-Ljbffr
Business Intelligence (BI) PowerPoint Data Analyst Tableau statistics Data Science Python Researcher data-visualization modeling Communication Mentoring Information technology (IT) Collaboration SQL Machine Learning Analytics ML models google-bigquery algorithms personalization Microsoft Excel Product management