At Climate, our mission is to use technologies to enhance the sustainability and security of our global food value chain. Using field-verified data science models, Climate is shaping the future of sustainable agriculture across 180 million acres worldwide and counting. As the digital farming arm of Bayer Crop Science, we have the benefits and resources of an established organization while offering employees the opportunity to deliver significant individual impact alongside some of the brightest minds in life sciences. 

Grounded in our vision, ‘Health for all, Hunger for none’, our diverse team spends their days solving the world's most pressing challenges through sheer curiosity and dedication. In our learning-oriented and flexible environment, you can find us collaborating in a hybrid model that mixes on-site and remote work. 

Our LIFE values—leadership, integrity, flexibility, and efficiency—and our unique focus on health and nutrition demand that we create value for all stakeholders—today, tomorrow, and for generations to come. If you’re hungry to build a meaningful career helping empower farmers with sustainable digital farming systems, keep reading! 
 

The Opportunity 

We are seeking a highly motivated data scientist with applied experience with remote sensing/geospatial datasets and modeling to join our team Data Insights geospatial and Remote Sensing Science within the Climate Science organization. You will have the opportunity to be on the forefront of developing novel & complex integrated agronomic models for recommendations on the seeds, agronomic traits, and crop protection that farmers need today. Our team has access to rich, industry-leading data sources to drive the creation of predictive and prescriptive models that will shape the future of the agriculture industry.  

As part of our diverse, highly dynamic group, you will work side-by-side with a team of exceptional data scientists with diverse backgrounds--Mathematics, Statistics, Computer Science, Engineering, Physics, Environmental Science, Agronomy, and more--to deliver next-generation scientific breakthroughs, while fostering your career growth and development. If you are passionate about addressing the need to feed a growing planet sustainably, with a direct impact on farmers, Climate would love to talk to you. We work on hard problems because we love the challenge! 

What You’ll Do  

A Geospatial Data Scientist plays a key role in delivering innovative scientific breakthroughs by developing geospatial datasets and/or robust, predictive agronomic models for a variety of crops. You will work closely with interdisciplinary scientists, leveraging genetic, environmental, and farm management data to provide personalized prescriptions for growers through the development of novel analytical and predictive models to predict crop and agronomic performance. 

• Clean, munge, and explore diverse environmental, EO remote sensing and/or geospatial datasets  
• Develop environmental and geospatial layers, and test these layers in predictive models  
• Analyze and judge the quality of data, and work with the data quality team to resolve issues  
• Design, prototype, and implement models to explore spatio-temporal dynamics and variability in agricultural fields using diverse techniques that include, but are not limited to process modeling, statistical modeling, machine learning, data mining, and optimization  
• Collaborate with other data scientists and engineers in developing models to characterize, diagnose and/or predict patterns of crop performance  
• Write robust, well-documented, and well-tested research code and code libraries that adhere to community standards and best practices. 

About You 

What You’ll Need

• MS in Statistics, Data Science, Math, Physics, Computer Science, Engineering, Soil Science, Geography, or other highly quantitative discipline + 2-year experience conducting geospatial data analysis and modeling, or PhD in one of the aforementioned disciplines 
• Demonstrated experience with remote sensing, agricultural, and/or large geospatial data
• Demonstrated ability to apply statistical methods and/or data science to real world problems 
• Demonstrated knowledge of and experience with processing and analyzing large geospatial datasets, assessing the effectiveness and accuracy of new data sources and data gathering techniques 
• Skilled in the use of Python and SQL for research, data analysis, and/or modeling 

Nice To Haves  

• Outstanding knowledge of Earth Observation satellite data from multiple sources and spectral regions (e.g. optical, RADAR) theory, sensors as well as its main applications to agriculture.  
• Experience with processing remote sensing optical and SAR data using python, open source or off-the-shelf software tools.  
• Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and predictive analytics.  
• Experience using spatial and time-series statistical methods to solve agricultural research problems.  
• Experience in designing, developing, and testing geospatial pipelines applied to machine learning model generation and deployment.  
• Experience using version control systems, e.g. git.  
• Experience working with cloud technologies or distributed computing platforms such as AWS, Azure, Google Cloud etc. 

What We Offer 

• Base salary estimated range between $119,573-$197,407 annually, depending on the hiring location. You may also be offered bonuses, RSUs cash equivalent, or commission. 
• Comprehensive health benefits including medical, dental, vision, life, and disability, as well as a Life Solutions Plan covering mental health benefits 
• Industry leading 401K match of up to 10% 
• Discounted access to Employee Share Purchase Plan program 
• Professional growth opportunities including up to $10,000 college tuition reimbursement, access to upskilling platform, leadership training, mentoring and coaching programs, and short-term assignments (domestic and international) 
• Yearly $500 WFH stipend for hybrid office employees 

 
Belonging and Accommodations 

At Climate, we strive to create inclusive experiences for candidates and employees alike in which a diverse set of perspectives and voices are represented. If this role sounds exciting to you but your experience doesn’t perfectly align with the job description, we still encourage you to apply. 

We’re proud to be an equal opportunity employer. This means we actively pursue ways to celebrate our differences and don’t discriminate based on race, religion, color, national origin, ethnicity, gender, sex ML (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws.  

If you need assistance or an accommodation due to a disability, contact us at [email protected].   

Learn more about our team and mission: https://climate.com/careers 

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