Sr Data Scientist - Pricing (Optimization & Deep Learning) Locations: AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY Remote Full time Job Description With a career at The Home Depot, you can be yourself and also be part of something bigger. The Home Depot is able to offer virtual employment of this position in the following states: AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY Position Purpose: The Sr. Data Scientist works with price optimization based on future forecasted outcomes of price and promotions, and needs experience with optimization and leveraging Deep Learning solutions.The successful candidate will be responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. 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. Based on the specific data science team, this role would need to be proficient in optimization and deep learning techniques. 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. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key 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 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. Preferred Qualifications: - Proficient with Linear Optimization tools (Gurobi preferred) - Past experience developing Optimization solutions and Deep Learning solutions in a professional environment - 6+ years of experience in business intelligence and analytics - PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc) - Proficient in Python and SQL - Mastery utilizing statistical techniques to identify key insights that help solve business problems - Demonstrated proficiency in predictive modelling like optimization, forecasting, or recommendation - Demonstrated proficiency in predictive modelling, data mining, and data analysis Minimum Education: - 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. 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 Competencies: - Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs - Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals - Collaborates: Building partnerships and working collaboratively with others to meet shared objectives - Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences - Cultivates Innovation: Creating new and better ways for the organization to be successful - Customer Focus: Building strong customer relationships and delivering customer-centric solutions - Develops Talent: Developing people to meet both their career goals and the organization's goals - Directs Work: Provides direction, delegating and removing obstacles to get work done - Drives Results: Consistently achieving results, even under tough circumstances - Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder - Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement - Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits. For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $90,000.00 - $190,000.00

• Diseñar y desarrollar modelos de machine learning e IA para casos de negocio. • Entrenar, evaluar y desplegar modelos utilizando Amazon SageMaker. • Implementar soluciones de IA generativa con Amazon Bedrock. • Preparar y transformar datos asegurando calidad y disponibilidad. • Colaborar con equipos para llevar modelos a producción bajo buenas prácticas de MLOps.

• Train, evaluate, and iterate on ML models for customer feedback tasks, contributing to our custom fine-tuning pipelines and running experiments with rigour and clear documentation. • Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation — with support and guidance from senior team members. • Contribute to evaluation frameworks: help build test sets, define metrics, and assess model quality across classification, extraction, and generative tasks. • Work on semantic search and retrieval, developing a strong working understanding of embedding-based approaches and the methods that go beyond them. • Write clean, well-tested code and collaborate with Engineering on model integration, data pipelines, and monitoring. • Work with the wider Data Science team to translate business and product requirements into practical ML experiments and solutions. • Stay close to relevant research and bring useful ideas from the literature into team discussions and experiments.

Role Description John Snow Labs is seeking a highly skilled and motivated Data Analyst to contribute to transformative initiatives within the healthcare industry. As a leading healthcare organization, we are committed to leveraging data to improve patient outcomes and streamline healthcare operations. We are seeking a skilled Data Analyst with expertise in converting Electronic Health Records (EHR) to the OMOP Common Data Model (CDM), particularly using Epic EHR systems. As a Data Analyst, you will be responsible for the transformation of healthcare data from Epic EHR into the OMOP CDM format. This role requires keen attention to detail and a strong understanding of healthcare data standards to ensure data integrity and interoperability. - Perform data extraction, transformation, and loading (ETL) of healthcare records from Epic EHR to OMOP CDM. - Collaborate with clinical informaticists and data engineers to ensure accurate mapping and conversion of data. - Validate and test data conversions to maintain high levels of accuracy and consistency. - Troubleshoot and resolve data integration issues as they arise. - Document processes and create comprehensive reports on conversion progress and outcomes. - Hands-on experience with OMOP, FHIR, clinical terminologies, and understanding of the patient journey. - A strong background in healthcare-related fields such as medicine, pharma, bioinformatics, or biostatistics is highly beneficial. - Experience with John Snow Labs’ technology stack, such as Spark NLP or the medical language models, is a plus. Qualifications - A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated. - Proven experience in EHR data management, specifically with Epic EHR systems. - Strong understanding of the OMOP Common Data Model and healthcare data standards. - Proficiency in SQL and experience with data transformation tools. - Excellent analytical and problem-solving skills. - Strong attention to detail and ability to work independently or as part of a team. Requirements - Experience with ETL tools and processes. - Familiarity with regulatory and compliance standards in healthcare data management. - Strong communication skills, both written and verbal. Benefits - A chance to work on cutting-edge problems in healthcare and life sciences, contributing to meaningful projects that impact patient outcomes. - Long-term freelancing contracts with a commitment of at least 30 hours per week. We are seeking individuals, not agencies or teams. - The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.