
Data Scientist - Agriculture Analytics
at McKinsey & Company
Posted 16 hours ago
No clicks
- Compensation
- Not specified
- City
- San Jose
- Country
- Costa Rica
Currency: Not specified
Join McKinsey's agricultural analytics team (ACRE) in San José, Costa Rica, applying real-time data and advanced analytics to agribusiness clients. The role involves tackling client-facing problems using geospatial and predictive methods to inform strategy, marketing, and operations across global food production. You will split time between delivering impact at client sites (with up to ~50% travel) and developing McKinsey's core analytical offerings. You will work with engineers and senior practitioners to build innovative algorithms and proprietary analytics that drive measurable client value.
Your Impact
Your Growth
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your qualifications and skills
- Bachelor’s or Master’s degree in a quantitative and/or agriculture-related discipline, such as data science/computer science, crop science/agronomy, animal sciences, geography/GIS, mathematics/statistics, or environmental sciences & engineering
- Proven experience applying data science and machine learning techniques to solve real-world problems (including master’s or bachelor’s thesis), preferably in the agriculture sector. Hands-on experience in agronomy/crop science, animal sciences, or field-level yield forecasting is preferred
- Strong proficiency in Python, with the ability to develop clean, efficient code and workflows that ensure reproducibility and effective team collaboration
- Experience with geospatial and spatiotemporal analysis, remote sensing, and image processing is preferred
- Familiarity with version control and development frameworks/methodologies is preferred
- Experience with data visualization tools such as Power BI, Tableau, or similar is preferred
- Excellent analytical and problem-solving skills, with a demonstrated ability to develop creative and efficient solutions
- Strong multitasking and parallel development abilities
- Creative, naturally curious, and willing to take intellectual risks
- Able to work under competing, quickly changing priorities, manage expectations effectively, and support the team under pressure; highly organized with exceptional attention to detail and follow-through
- Excellent interpersonal and communication skills
- Willingness to travel up to 50%
- Sustainability
- Technology
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
Job Skill Code - TCGB - Data Scientist II
Function - Sustainability;Technology
Industry - Agriculture
Post to LinkedIn - Yes
Posted to LinkedIn Date - Thu Feb 19 00:00:00 GMT 2026
LinkedIn Posting City - San Jose
LinkedIn Posting State/Province -
LinkedIn Posting Country - Costa Rica
LinkedIn Job Title - Data Scientist - Agriculture Analytics
LinkedIn Function - Engineering;Information Technology;Science
LinkedIn Industry - Environmental Services;Food Production;Information Technology and Services
LinkedIn Seniority Level - Entry level

