About Misionero
Misionero is a forward-thinking produce company built on the principles of treating people with respect and balancing growth with quality. We specialize in high-quality leafy greens, organic salad staples, and value-added vegetables, maintaining a deep commitment to ethical growing, processing, and harvesting practices. As modern pioneers in the agro-industry, we focus on innovating and transforming the industry through new technologies and a collaborative environment to create real food for a greener future.
Harvest the Data
Misionero is leveraging a cloud data strategy to centralize and enhance its data assets and operations, creating an AI-ready infrastructure. This initiative combines our profound agricultural expertise with cutting-edge technology to enable stakeholders to access, analyze, and synthesize production data with speed and clarity.
Position Overview
We are seeking a talented Data Scientist to join our growing team with a focus on supply chain and operations. This role will focus on building scheduling, forecasting, and planning tools that directly support production decision-making — translating operational knowledge into systematic, data-driven systems that non-technical teams can use daily. The immediate priority is designing and deploying a production scheduling suite for our packing operation, with longer-term scope across demand forecasting, harvest planning, inventory strategy, and ERP systems implementation.
Core Responsibilities
• Design and build operational planning tools (scheduling, forecasting, inventory) that production and supply chain staff can operate independently.
• Develop demand forecasting models (short-term and long-term) to support production planning and raw material procurement.
• Translate data into actionable insights and communicate them to technical and non-technical stakeholders, including C-level suite.
• Ensure data quality and robust analytical practices.
• Support AI-driven and data-informed decision-making as part of our 2026 Data Strategy. Design and maintain dashboards and key metrics (KPIs) to monitor operational performance and identify improvement opportunities.
• Lead data science projects to determine, validate, and update key operational rules — using data rather than assumption to drive scheduling parameters, capacity targets, and cost drivers.
• Design analytical frameworks that define how multiple inputs drive business decisions under uncertainty (e.g., producing against unconfirmed demand).
• Partner with production planners, operations teams, and cross-functional stakeholders to capture domain knowledge and validate outputs.
Requirements
• Degree in Computer Science, Engineering, or Applied Mathematics.
• 3–5+ years of experience in Data Science, Analytics, or similar roles.
• Strong proficiency in Python for data manipulation, modeling, and automation.
• Experience working with SQL and structured datasets.
• Experience in statistical modeling, structured data analysis, and forecasting methods.
•Understanding of data quality and validation practices.
• Experience designing analytical methodologies for domains without established approaches.
• Bilingual Spanish/English.
• Strong Excel proficiency — advanced formulas, data modeling, dashboard design.
• Excel is a primary delivery platform for operational tools in this role. Experience working with cloud-based environments and BI tools. Microsoft ecosystem is a plus (Azure, Power BI).
• Some exposure to operations, supply chain, or manufacturing concepts (scheduling, capacity, inventory, perishable products). Deep domain expertise is not required — willingness to learn is.
Strongly Preferred
• Experience with optimization problems (scipy.optimize, OR-Tools, PuLP, or similar).
• Experience with demand forecasting or time-series modeling. • Pandas, numpy, Scikit-Learn.
• Familiarity with ERP systems or operational data sources.
• Experience with probabilistic modeling (Bayesian methods, PyMC, Stan or similar).
• Understanding of uncertainty and strategic thinking in decision-making showing strong business actionment.
• Experience building tools for non-technical end users — people who will use your output daily but won't modify your code.
Soft Skills
• Curiosity
• Proactivity
• Autonomy
• Teamwork
• Good communication (verbal & written)
• Detail orientation
• Problem solving
• Comfort working directly with operations teams — floor managers, production planners, field coordinators — not just data teams
What We Offer
• Competitive salary based on experience.
• Benefits in compliance with Mexican labor law.
• Hybrid work model: 2 days of home office per week.
• During the first 2 months (onboarding period): 1 day of home office per week.
• Periodic travel to US production facilities (California and Maryland).
• Exposure to strategic data initiatives aligned with our 2026 roadmap.
• 🌐 Ownership of high-impact projects — you will build the tools that drive daily production decisions for the company.
About this role: This is not a traditional data science position where you build models and hand off insights. You will own the end-to-end design, build, and deployment of tools that production teams use every day. The work is tangible — if your scheduling tool works well, the plant wastes less product and fills more orders. You will see the impact of your work on the production floor, not just in a dashboard. https://misionero.com