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.

• Drive GTM Performance Through Data • Own and refine how we measure performance across marketing, pipeline, and revenue • Turn data into clear recommendations on where to invest, what to cut, and how to scale • Act as a strategic partner to GTM leaders on channel strategy and performance • Ensure growth is not just fast, but efficient and sustainable (strong conversion, healthy CAC, durable revenue) • Channel Discovery & Optimization • Identify new acquisition channels and opportunities to drive incremental pipeline • Deeply analyze existing channels (paid, outbound, partnerships, organic) to improve efficiency and output • Separate signal from noise — understand what is actually driving pipeline and revenue vs what looks good on paper • Evaluate incrementality and ROI across all GTM spend to ensure scalable, repeatable growth • Marketing → Sales → Revenue Connectivity • Tie marketing activity directly to sales outcomes (conversion, velocity, ACV, win rates) • Identify friction points across the funnel and quantify impact • Build views that reflect real sales cycles (not artificial month-based reporting) • Highlight where growth is coming from high-quality vs. low-quality pipeline • Real-Time GTM Insights • Build and maintain reporting that gives teams real-time visibility into performance • Enable faster decision-making across Marketing, Sales, and Leadership • Move the org from lagging indicators → leading indicators • Surface early signals on pipeline quality, conversion risk, and revenue durability • GTM Data & Tooling Ownership • Work across the full GTM stack to ensure data is usable, connected, and actionable: • CRM: HubSpot / Salesforce • Sales tools: Nooks, Unify, Gong • Marketing tools + attribution systems • Data stack: Snowflake, dbt, BI tools (Omni, Looker, etc.) • Build and refine datasets that power GTM reporting (pipeline, attribution, channel performance) • Experimentation & Insight Generation • Partner with Growth and Marketing to analyze experiments and campaigns • Build frameworks to quickly evaluate what’s working and what’s not • Continuously surface insights that drive iteration and improvement • Ensure experiments lead to scalable wins, not one-off spikes

• Help design and build a comprehensive benchmarking suite for evaluating foundation models against Earth Index use cases, including defining metrics, curating evaluation datasets, and implementing reproducible evaluation pipelines • Experiment with approaches for combining embeddings from multiple foundation models, exploring ensemble methods, learned projections, and other fusion strategies to improve detection quality • Develop and test workflows for post-processing Earth Index detections, including clustering, filtering, confidence scoring, and spatial analysis to turn raw model outputs into clean, actionable results • Explore advanced embedding applications such as change detection (comparing embeddings across time) and multi-scale search (working across different spatial resolutions) • Write clean, well-documented, shareable code that integrates with existing Earth Index codebases • Document experimental results, design decisions, and methodology clearly enough that the team can build on your work after the internship ends.