Note: The job is a remote job and is open to candidates in USA. The Home Depot is a home improvement retailer that uses advanced analytics to improve profitability, efficiency, and customer experience. The Sr. Data Scientist will lead pricing and promotion forecasting initiatives using deep learning and other advanced analytical methods, while collaborating with business partners, managing project priorities, presenting recommendations, and mentoring data scientists.
Responsibilities
- 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
- This position reports to manager or above
- This position has 0 Direct Reports
- Typically requires overnight travel less than 10% of the time
- 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
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable
Skills
- • Typically requires overnight travel less than 10% of the time
- • 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
- • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable
- • Must be eighteen years of age or older
- • Must be legally permitted to work in the United States
- • 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
- • 5
- • None
- • None
- • Proficient in time series forecasting and deep learning techniques
- • PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
- • 6+ years of experience in business intelligence and analytics
- • 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
- • Demonstrated proficiency in predictive modeling, data mining and data analysis
- • No additional education
- • No additional years of experience
- • None
Benefits
- Virtual employment is offered in the listed states.
- Health care benefits
- 401K
- ESPP
- Paid time off
- Success sharing bonus
Company Overview