• Desenvolver modelos e análises diagnósticas, descritivas, preditivas e prescritivas usando técnicas de análise estatística e de machine learning para suporte a decisões data-driven; • Aprimorar continuamente os modelos existentes, para tornar o bom ainda melhor; • Aliar a elaboração de modelos estatísticos complexos a problemas específicos de negócio, garantindo índices cada vez maiores de aprovações automáticas de baixíssimo risco; • Aliar alta qualidade de projetos de modelos com rápida entrega, atendendo as demandas e especificidades de cada segmento; • Atualizar-se constantemente em relação a novas práticas em ciência de dados; • Aplicar técnicas estatísticas de amostragem e modelagem para identificar pontos de melhoria no negócio; • Aplicar técnicas de clusterização para identificar perfil do cliente.

• Develop and maintain machine learning models for supervised and unsupervised learning, time series, reinforcement learning, operations research and/or linear programming • Conduct discovery sessions with business areas to gather requirements, design data solutions, and generate insights from market data and Solar Coca-Cola data • Ensure governance and quality of calculations and implementations • Automate data science workflows using pipelines and workflows in Databricks, ensuring scalability and reliability • Support and monitor consulting engagements for projects prioritized by senior leadership, ensuring knowledge transfer and model internalization • Design end-to-end data and process flows using flowcharts, collaborative tools and stakeholder interviews • Analyze platform and external data sources and integrate relevant insights into models and internal metrics • Lead data science decisions within project squads, ensuring deadlines, technical quality and alignment with strategic objectives

• Structure the Machine Learning and AI area within the Data team, defining the stack, architecture, model governance, and MLOps best practices from the first model through to operating at scale • Develop and put into production predictive models using our proprietary data, focusing on content recommendation, propensity and personalization of the reader's journey (churn, reactivation, next best book, ideal format) • Bring GenAI and AI agents into daily operations and product: curation assistants, automation of internal workflows, and conversational experiences that increase engagement and productivity • Recruit, train, and develop the team of data scientists, playing a leading role in building the team that will grow with you • Work closely with Data Engineering, Analytics, Product, Growth, and Software Engineering to integrate models into products, the CRM, and business decisions, closing the full cycle from training to monitoring, retraining, and measuring impact on metrics such as D28, MAU and minutes consumed

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