Agricultural Data Scientist
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Job Location:
Denver, CO - USA
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
At Syngenta our goal is to build the most collaborative and trustworthy team in agriculture providing top-quality seeds and innovative crop protection solutions that improve farmers success. To support this mission Syngentas Soil Science team is seeking an Agricultural Data Scientist in Denver CO. This role will lead the development and implementation of advanced crop modeling systems that leverage UAS thermal imagery and ground-based measurements to optimize water use efficiency in agricultural systems. Design and execute sophisticated data analysis workflows that transform complex agricultural datasets into actionable insights for product development and agronomic recommendations.
The Agricultural Data Scientist will drive innovation in computational approaches to understand plant-soil relationships through the creation of scalable models and automated data processing pipelines; serving as a technical expert in experimental design and statistical analysis while effectively communicating findings to diverse stakeholders through compelling visualizations and presentations that influence decision-making across the organization.
Accountabilities:
- Lead the development and implementation of advanced two-source energy balance models utilizing UAS thermal imagery and ground-truth measurements to deliver accurate crop water stress assessments across diverse agricultural environments.
- Independently design build and validate sophisticated scalable models that enhance crop water use efficiency research ensuring alignment with business objectives and regulatory requirements.
- Systematically analyze and integrate complex agricultural datasets to establish robust plant-soil relationships driving improvements in crop performance and sustainability metrics.
- Execute comprehensive analysis of multi-location field experiments including rigorous statistical validation and quality assessment to generate actionable insights supporting product development decisions and evidence-based agronomic recommendations.
- Architect and maintain efficient data processing pipelines using Python and other programming languages to systematically clean transform and analyze large-scale agricultural datasets ensuring high-quality model development and validation.
Qualifications :
Required:
- PhD degree in Agronomy Soil Science Civil and Environmental Engineering or related field required.
- One year prior experience in agricultural research crop consulting digital agronomy or related agricultural data analysis roles required.
- Experience working with geospatial datasets required.
- Experience in cloud environments such as Amazon AWS preferred.
- Experience with machine learning frameworks such as CatBoost XGBoost LightGBM PyMC and StatsModels.
- Strong proficiency in Python programming with experience in data analysis libraries (e.g. Pandas NumPy Scikit-learn) and visualization tools (e.g. Matplotlib Seaborn Plotly).
- Knowledge of crop production systems including agronomic management practices growth stages yield-limiting factors and crop protection practices preferred.
Desired:
- Mastery of Two-Source Energy Balance model for evaluation and validation of crop evapotranspiration required.
- Familiarity and experience with UAS technology and data outputs.
- Understanding of applied statistics and experience applying AI/ML techniques including supervised learning time series forecasting clustering segmentation and Bayesian inference desired.
- Demonstrated ability to leverage generative AI tools (ChatGPT Claude GitHub Copilot) to enhance productivity and accelerate problem-solving.
- Demonstration of the use of data stewardship skills and version-controlled work such as GitHub GitLab.
- Experience collaborating with data engineers and ML engineers to develop optimize and deploy model solutions.
Additional Information :
Salary for the role is $88000 - $110000 per year.
What We Offer:
- A culture that celebrates diversity & inclusion promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical Dental & Vision) that starts your first day.
- 401k plan with company match Profit Sharing & Retirement Savings Contribution.
- Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.
Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
WL: 4B
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With 59,000 employees in more than 100 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transfo ... View more
