[Remote] Sr. Data Scientist, Pricing Analytics (Deep Learning & Demand Forecasting)

Remote, USA Full-time
Note: The job is a remote job and is open to candidates in USA. The Home Depot is a leading home improvement retailer, and they are seeking a Sr. Data Scientist to lead data science initiatives that enhance business profitability and customer experience. This role involves developing advanced analytics infrastructure and collaborating with teams to leverage data science for competitive advantage. 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 Skills • 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 years of work experience • 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 Benefits • Health care benefits • 401K • ESPP • Paid time off • Success sharing bonus Company Overview • The Home Depot is a retailer of hardware, consumer goods, and DIY supplies both online and offline while providing home delivery services. It was founded in 1978, and is headquartered in Atlanta, Georgia, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • The Home Depot has a track record of offering H1B sponsorships, with 27 in 2025, 67 in 2024, 32 in 2023, 66 in 2022, 62 in 2021, 33 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job
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