Data Scientist- Applied Mathematics/Statistics

San Francisco, California St. Louis, Missouri


The Climate Corporation is looking for an applied mathematician with interests in numeric predictions of complex environmental systems. This position is within science R&D team that leverages numeric modeling, big data, cloud computing to address scientific challenges in precision agriculture. This team builds predictive models that are used directly by farmers, agronomists and consultants to optimize their management programs and economic returns.

The successful candidate will focus on creating predictive agronomic models for cereals and other crop systems. This team will work closely with collaborating teams focused on leveraging genetic, environmental and grower management data to create integrated models that can help growers better manage key aspects of these crops to improve yield outcome.

What You Will Do:

  • Explore, munge, and model large and diverse datasets
  • Implement and test algorithms and techniques relevant to achieving project objectives
  • Design and prototype models based on using diverse techniques that include, but are not limited to, machine learning, data mining, statistical modeling, and process modeling
  • Analyze and judge the quality of data and work with the data quality team to resolve issues
  • Work closely with a team of world-class scientists, engineers and mathematicians to deliver impactful scientific research
  • Select the most appropriate modeling techniques and data visualization for large datasets
  • Assist with high-level analysis, design, and code reviews

Basic Qualifications:

  • MS or PhD in Applied Mathematics, Statistics, or another highly quantitative discipline.
  • 1+ years of experience after PhD or 3+ years of experience after MS with predictions involving complex systems (E.g. working with predictive models from a field such as climatology, ecology, biogeochemistry, etc.)
  • Experience linking measurements and models (e.g. via data assimilation, parameter optimization and/or performance testing)
  • Strong proficiency with scientific computing in an interpreted language (such as Python, R or Matlab)

Preferred Qualifications:

  • Experience with agriculture crop models as a developer or advanced user
  • Machine learning experience
  • Experience working with tooling for ETL operations on large datasets
  • Strong organizational skills
  • 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
  • Excellent interpersonal and communication skills

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