Data Science Intern

Description

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 

Climate is looking for a Data Science intern to join our team. We are seeking a highly motivated graduate-level student with a strong background in solving analytical problems using quantitative approaches. As part of our team, you will help develop methodology to build predictive agronomic models incorporating key data layers such as soil, vegetation, water resources, weather, environmental characteristics, and crop yield by leveraging the latest in data science, geospatial analytics, and remote sensing tools. If you are interested in applying your skills in data to help farmers, Climate would love to talk to you! 

What You’ll Do 

• Develop/validate/refine predictive models by corroborating with ground truth data 
• Mine massive datasets of spatial science, remote sensing, or other data types and perform large-scale data analysis to extract useful agriculture business insights 
• Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating results to cross functional groups 
• Identify and build measurable actionable trends within our product pipeline in agriculture   
• Collaborate with other data scientists to develop models, test techniques, and resolve issues 

About You 

What You'll Need 

• Pursuing a MS or PhD degree in Statistics, Applied Mathematics, Computer Science, Data Science, Biostatistics, Epidemiology, Quantitative Genetics, or related technical field from an academic institution 
• Experience in solving analytical problems using quantitative approaches (or equivalent) 
• Experience with SQL and at least one programming languages (Python, R, Java) 

Nice to Haves 

• Experience with statistical analysis, experience with packages such as R, MATLAB, etc.  
• A drive to understand and derive meaningful insights from data and results 
• Strong written and oral communication skills

What We Offer  

Our environment is extremely engaging and fast-paced, with a diverse set of top engineers, data scientists, agronomists, and statisticians working together to provide the best possible products and experiences for our customers.   

• We offer competitive pay and perks. 
• We provide meals and a large assortment of snacks and drinks to get you through the day  
• You’ll get 1:1 mentoring from a talented and motivated employee on your team  
• You’ll have the opportunity to work on real projects with experienced employees and have a direct impact on the company (Our internships are not summer camp!)  
• You’ll work in an award winning office with smart designs, large common areas and open floor plans that fuel collaboration.  
• You’ll attend various company sponsored events, activities and off-sites - we make sure interns are having fun!  
• We regularly host meet-up groups and tech-talks and encourage participation in relevant workshops 
• You’ll have the opportunity to interact with key executives and leadership  
• Pay Transparency: The base pay range for this position is: $30 - $50/hour based on location and degree level.