Senior Data Scientist, Online Merchandising

• 35% Solution Development - Proficiently design and develop algorithms and

models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation

• 30% Project Management & Team Support - Work with project teams and business

partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team

• 20% Business Collaboration - Leverage extensive business knowledge into

solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage

• 15% Technical Exploration & Development - Seek further knowledge on key

developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports

• This position reports to manager or above
• 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.

Competencies

• Attracts Top Talent: Attracting and selecting the best talent to meet current

Preferred Qualifications

• PhD in a quantitative field (Computer Science, Operations Research,

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

The Sr. Data Scientist, Online Merchandising leads data science work that drives profitability, efficiency and a better customer experience across The Home Depot’s online channel. The role builds and scales models behind key merchandising decisions, including pricing and promotions, assortment, product discovery, and inventory and fulfillment tradeoffs. Sr. Data Scientists are expected to look for business opportunities where data science can be a competitive advantage.

The role requires proficiency in one or more specializations such as optimization, simulation, reinforcement learning, causal ML, elasticity modeling, NLP, or search. Experience applying these methods to retail or supply chain problems is a strong plus.

As a Sr. Data Scientist, you will lead data science projects: working with product managers, merchants and engineering partners, setting task priorities, balancing workload and mentoring data scientists on the project team. You will turn complex modeling work into clear insights and recommendations for leaders and business partners, explaining the expected benefits, tradeoffs and impacts of each solution. You will also help build a strong data science team by giving input on staffing needs and taking part in recruiting and hiring.

The role works closely with Online Merchandising and cross-functional technology teams, so it requires strong communication, relationship-building and business sense to make sure solutions are adopted and deliver measurable value..

• 6+ years of experience applying data science or advanced analytics to

• Proficient in a modern scripting language (preferably Python)
• Proficient running queries against large datasets (preferably Google BigQuery

• Proficient with data visualization software (preferably Tableau)
• Working knowledge of Microsoft Excel and PowerPoint
• Demonstrated expertise in one or more of the following: Mathematical

optimization (linear/integer programming, stochastic or robust optimization)Simulation modeling (discrete-event, Monte Carlo, agent-based)Reinforcement learning or contextual bandits for sequential decision-makingCausal inference/causal ML (uplift modeling, experimentation design, heterogeneous treatment effects)Price and promotion elasticity or demand modelingNLP and search (intent classification, entity extraction, semantic search)

• Supply chain experience (inventory optimization, demand forecasting,

• Expert use of statistical techniques to find key insights that solve business

• Demonstrated skill in predictive modeling, data mining and data analysis
• Track record of taking models from prototype to production and measuring

their business impact

• The knowledge, skills and abilities typically acquired through the completion

of a bachelor's degree program or equivalent degree in a field of study related to the job.

• Business Insight: Applying knowledge of the business and the marketplace to

• Collaborates: Building partnerships and working collaboratively with others

• Communicates Effectively: Developing and delivering multi-mode communications

• Cultivates Innovation: Creating new and better ways for the organization to

• Customer Focus: Building strong customer relationships and delivering

• Develops Talent: Developing people to meet both their career goals and the

• Directs Work: Provides direction, delegating and removing obstacles to get

• Drives Results: Consistently achieving results, even under tough

• Nimble Learning: Actively learning through experimentation when tackling new

• Optimizes Work Processes: Knowing the most efficient and effective processes

• Self-Development: Actively seeking new ways to grow and be challenged using

both formal and informal development channels

With a career at The Home Depot, you can be yourself and also be part of something bigger.