Data Scientist - Spatial Statistics at The Climate Corp.
San Francisco, CA, US / St. Louis, MO, US

The Climate Corporation is looking for a researcher with applied experience in statistical spatial modeling. This position is within the science R&D team that leverages numeric modeling, big data, and 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 developing statistical models to analyze crop performance and describe treatment effects accounting for spatial variability. This individual will work closely with science teams focused on delivering new product concepts that can help growers better manage their crops to improve yield.

What You Will Do:

  • Build models to explore spatial variability in farmer’s fields
  • Deliver a statistical framework to analyze crop performance and treatment effects
  • Design and prototype models using diverse techniques that include, but are not limited to, machine learning, data mining, statistical modeling, and process modeling
  • Document and report results within and across teams
  • Assist with high-level analysis, design, and code reviews
  • Work closely with a team of world-class scientists, engineers and mathematicians to deliver impactful scientific research

Basic Qualifications:

  • MS or PhD in Applied Mathematics, Statistics, or another highly quantitative discipline.
  •  3+ years of experience after MS with applied statistics involving spatial modeling
  • Strong proficiency with scientific computing in an interpreted language (such as Python or R)
  • Strong organizational skills
  • Excellent interpersonal and communication skills
  • Strong drive to learn new topics and skills and to develop innovative products for our customers

Preferred Qualifications:

  • Applied statistical experience with agriculture crop models as a developer or advanced user
  • Machine learning experience
  • Experience working with tooling for ETL operations on large datasets
  • Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice

 

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