Data Scientist - Statistics

St. Louis, Missouri San Francisco, California


Position Overview: 

We are seeking a data scientist to join our team focused on creating predictive agronomic models for soy crop systems. This team will work closely with collaborating teams focused on leveraging genetic, environmental and farm management data to create integrated predictive models that can help farmers better manage key aspects of soybean crop to improve yield outcome. 

What You Will Do:

  • Explore, munge, and model large and diverse soybean datasets
  • Design and prototype models based on using diverse techniques that include, but are not limited to, Optimization modeling, AI, deep learning, machine learning, data mining, and statistical modeling
  • Manipulate, transform, and analyze abstract data structures
  • Implement and test algorithms and techniques relevant to achieving project objectives
  • Collaborate with other data scientists and engineers in developing models to diagnose and/or predict patterns of crop performance
  • Analyze and judge the quality of data and work with the data quality team to resolve issues
  • Select the most appropriate modeling techniques and data visualization for large datasets
  • Assist with design of field trial protocols, statistical analysis of field trial data, and code reviews

Basic Qualifications: 

  • MS in Statistics, Applied Math, Data Science, Operations Research or other quantitative discipline
  • Minimum of one year experience conducting exploratory data analysis and modeling using Python
  • Demonstrated knowledge and experience manipulating and analyzing large data sets 
  • Strong analytical and quantitative problem solving ability, with demonstrated ability to build, test, and iterate on a variety of model forms
  • Skilled in the use of Python for research
  • Strong interpersonal and communication skills

Preferred Qualifications: 

  • PhD in Statistics, Applied Math, Data Science, Operations Research or other quantitative discipline
  • Experience with Operations Research for Optimization modeling
  • Experience using data science to lead the inquiry and evaluation of complex business problems
  • Experience working with agriculture or soybean crop data
  • Ability to translate complex technical concepts to collaborations, decision makers, and non-technical audiences
  • Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice
  • Strong drive to learn new topics and skills and to develop innovative products for our customers

What We Offer:

Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers.

We provide competitive salaries and some of the best perks in the industry, including:

  • Superb medical, dental, vision, life, disability benefits, and a 401k matching program
  • A stocked kitchen with a large assortment of snacks & drinks to get you through the day
  • Encouragement to get out of the office and into the field with agents and farmers to see first-hand how our products are being used
  • We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development

We also hinge our cultural DNA on these five values:

  • Inspire one another
  • Innovate in all we do
  • Leave a mark on the world
  • Find the possible in the impossible
  • Be direct and transparent
Learn more about our team and our mission:

The Climate Corporation - The Technology Behind Making A Difference​ or visit ​

Climate aims to create a welcoming and collaborative environment for our employees in which a diverse set of perspectives and voices are represented and celebrated.

As part of our dedication to the diversity of our workforce, The Climate Corporation is committed to Equal Employment Opportunity and does not discriminate based on race, religion, color, national origin, ethnicity, gender, sex (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, you may contact us at