The Home Depot is looking to leverage data science to drive business profitability, increase efficiencies, and improve customer experience by developing an advanced analytics infrastructure that informs decision-making and provides a competitive advantage.
Requirements
- 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
- Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
- Demonstrated proficiency in predictive modeling, data mining and data analysis
Responsibilities
- Proficiently design and develop algorithms and models to use against large datasets to create business insights
- 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
- Provide mentoring and coaching to more junior roles to support their technical competencies
- Develop best practices and develop clear vision for data analysis and model productionalization
Other
- This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making.
- Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage.
- As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team.
- This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions.
- This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process.
