ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE Join Our Community of Food People! The Lead Data Scientist – Commercial will lead a team of data scientists responsible for designing, developing, and deploying advanced analytics and AI solutions that drive commercial growth, seller efficiency improvements and customer engagement. This includes seller effectiveness solutions, eCommerce AI capabilities such as personalization and product recommendations, and advanced marketing and merchandising analytics. This leader owns the Commercial Advanced Analytics portfolio, with accountability for analysis, development, and implementation of AI / ML solutions and delivery of measurable business outcomes across Sales, Marketing, and Digital channels. Responsibilities span the full lifecycle of initiatives, from problem framing and solution design through production deployment and adoption. This position is remote which means the work can be completed from anywhere except Hawaii or United States Territories. ESSENTIAL DUTIES AND RESPONSIBILITIES Delivery and Impact - Partner with senior Sales, Merchandising, Marketing, and Digital stakeholders to identify, prioritize, and frame high-impact business problems suited for advanced analytics and AI. - Oversee delivery of solutions including eCommerce personalization and recommendation systems, seller effectiveness and productivity tools, and advanced marketing and merchandising analytics. - Ensure solutions are production-ready, scalable, and embedded into commercial workflows to drive sustained and measurable revenue, margin, and customer experience impact. Analytical Leadership - Lead, develop, and retain high-performing teams of data scientists, with a strong focus on innovation, execution, and talent development. - Shape and deliver the commercial analytics and AI roadmap aligned to growth priorities, customer strategy, and measurable business outcomes. - Influence decision-making by leading statistical experimentation and driving adoption of data-driven decision making across Sales, Merchandising, Marketing, and Digital leadership teams. Technical Excellence - Provide technical and analytical leadership across applied AI, optimization, and statistical modeling. - Set standards for analytical rigor, model performance, reliability, and commercial business impact. - Collaborate with ML Engineering, Digital, and Platform teams to ensure robust code development, scalable deployment, and stable production operations across the full model lifecycle. SUPERVISION: - Team of five data scientists. RELATIONSHIPS - Internal: Analytics and Data Science teams; Executive Leadership Team; Sales, Marketing, Merchandising, Digital, and Technology leaders. - External: Vendors including cloud infrastructure providers, analytics and AI solution partners, and other strategic partners. WORK ENVIRONMENT (Select one) - Remote: This role is fully remote, and the associate is expected to perform assigned responsibilities from a home-based environment. MINIMUM QUALIFICATIONS - Six years of experience or greater in advanced analytics, data science, or applied machine learning, with progressive leadership responsibility. - Experience deploying applied AI solutions on cloud platforms (e.g., AWS SageMaker and Bedrock), including LLM-based and agentic architectures, with production-grade hosting, monitoring, governance, and end-to-end MLOps. - Experience guiding teams in Python-based data science ecosystems and collaborative development practices, including code quality, testing, and reproducibility. Comfort with modern agentic coding tools (e.g., Claude Code, GitHub Copilot). - Strong command of machine learning, optimization methods, and statistical experimentation at scale, particularly in commercial, customer, or growth-oriented use cases. - Business-oriented analytical thinker with a high bar for rigor, execution, and reliability. - Clear, concise communicator able to influence senior leaders with data-driven insights. EDUCATION - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field required. - PhD in a quantitative field a plus. TRAVEL REQUIREMENT - 10% CERTIFICATIONS/TRAINING - N/A LICENSES - N/A PREFERRED QUALIFICATIONS - Experience leading applied data science or AI teams in commercial, sales, marketing, or eCommerce environments (especially B2B). - Strong consultative, business-facing background with demonstrated success driving adoption of analytics products. - Able to communicate clearly and influence stakeholders through storytelling and public speaking. - Experience in complex, SKU-heavy or distribution-style businesses. This role is also eligible for Benefits for this role include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. To review available benefits, please click here: https://www.usfoods.com/careers/benefits.html. #LI-EC1 Compensation depends on relevant experience and/or education, specific skills, function, geographic location, and other factors as applicable by law (for example: state or local minimum wage thresholds). The expected base rate for this role is between $100,000 - $160,000 ***EOE – Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Age/Genetic Information/Protected Veteran/Disability Status***

• Collaborate closely with biostatisticians and cross-functional teams • Refine and enhance statistical modelling approaches and methodologies • Design and develop robust R-based workflows and packages • Implement best practices for testing, documentation, and CI/CD in statistical projects • Support the deployment of models as scalable, production-ready software on cloud platforms • Provide technical guidance and mentorship to improve modelling and engineering standards • Ensure reproducibility, maintainability, and performance of statistical solutions.

En FEMSA generamos valor económico y social y buscamos ser el mejor empleador y vecino. A través de nuestras Divisiones de Proximidad, Salud y Digital y Unidades de Negocio Coca-Cola FEMSA y FEMSA Negocios Estratégicos, empleamos a más de 354 mil personas en los países donde tenemos presencia. Nombre Posición: ANALISTA CIENCIA DE DATOS Nombre Posición jefe Directo: Responsable Científico de Datos Ubicación: Remoto ⭐ Misión del Puesto Impulsar la toma de decisiones del negocio mediante el análisis de datos y el desarrollo de modelos analíticos, asegurando información confiable, accionable y alineada a los objetivos estratégicos. 🛠️ Lo que harás día a día • Analizar datos de clientes y del negocio para identificar patrones, insights y oportunidades. • Desarrollar y mejorar modelos y análisis utilizando técnicas avanzadas de analítica y machine learning. • Ejecutar procesos de entrenamiento, prueba y validación de modelos analíticos. • Monitorear el desempeño de modelos en producción y detectar desviaciones oportunamente. • Documentar modelos, procesos y resultados para asegurar trazabilidad y mantenimiento. • Traducir resultados técnicos en información clara para equipos internos y tomadores de decisión. • Colaborar con equipos multidisciplinarios en proyectos de analítica avanzada. • Promover el cumplimiento de procesos, estándares y cultura de la compañía. 🔥 Tus retos en este rol • Convertir necesidades del negocio en soluciones analíticas claras y efectivas. • Asegurar la calidad, precisión y confiabilidad de los modelos y análisis. • Detectar riesgos, desviaciones o áreas de mejora a partir de los datos. • Proponer nuevas métricas, metodologías y enfoques que generen valor. • Comunicar insights de manera clara a audiencias técnicas y no técnicas. 💡 Lo que buscamos en ti • Pensamiento analítico y atención al detalle. • Actitud proactiva y enfoque a la mejora continua. • Capacidad para trabajar de forma colaborativa y organizada. • Facilidad para interpretar datos y contar historias con ellos. ⭐ Habilidades que te harán brillar • Análisis crítico y solución de problemas. • Comunicación clara y efectiva. • Trabajo en equipo y autogestión. • Enfoque a resultados y orientación al negocio. 🎓 Tu historia profesional (lo que necesitas traer contigo) • Licenciatura o ingeniería en áreas afines (datos, matemáticas, sistemas, economía o similar). • Experiencia en análisis de datos o modelos analíticos. • Manejo de herramientas como: ✔ Python (Pandas, NumPy, Scikit-learn) ✔ PySpark, MLflow ✔ Databricks, Azure • Gusto por aprender, experimentar y trabajar con datos. En FEMSA y todos nuestros negocios, los procesos de reclutamiento y selección son gratuitos y operan con principios de respeto por el individuo, la sociedad y el medio ambiente sin hacer distinción alguna por religión, género, edad, nivel socioeconómico, origen étnico, discapacidad u otros.

be part of a team that values safety, inclusion, and excellence we are one of the largest U.S. railroads transporting the nation’s freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. bnsf | tech: innovating and transforming the future of freight rail bnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america. are you ready to drive change? if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us! learn more about BNSF and our Benefits Job Location: Remote US Anticipated Start Date: 01/01/2026 The US base salary range for this full-time position is provided below: Salary Range: $165,000-$300,000 L5: $165,000 - $220,00 L6: $225,000 - $300,000 The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role.  Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package. This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date. data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. Key responsibilities may include: Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models. Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows. Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making. Design and present compelling visualizations and reports to effectively communicate analytical findings. Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision. Keep abreast of emerging trends and breakthroughs in data science and machine learning fields. Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position’s duties. At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment. Basic Qualifications - Minimum 6 years of experience with building optimization algorithms or relevant experience. - Advanced proficiency in programming languages such as Python, R, SQL, and Java. - Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively. - In-depth experience with data science cloud platforms and their integration into business solutions. - Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment. - Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies. - Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism. - Deep understanding and application of statistical analysis and advanced machine learning techniques. - Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms) - Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies. - Experience with Vector Databases and embeddings. - Experience with Model Fine-tuning. - Experience with GPU optimization. Preferred Qualifications - Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus. - Knowledge of geospatial analytics, route optimization, and GIS concepts. - Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions. - Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector. - Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives. - Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level. At BNSF, you will have access to a comprehensive and competitive benefits package including: - An industry-leading 401(k) and renowned Railroad Retirement program. - A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options. - Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. - Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). - Access to discounts on travel, gym memberships, counseling services and wellness support. - Annual bonus (Incentive Compensation Program) - Generous leave / time off policies. - For more information, visit Benefits. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.