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 educationMinimum Years of Work Experience:

　　5Preferred Years of Work Experience:

　　No additional years of experienceMinimum Leadership Experience:

　　NonePreferred Leadership Experience:

　　NoneCertifications:

　　NoneCompetencies:

　　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

　　100000 - 190000

　　Regular Associate

　　We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.