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Bayer Data Scientist - Statistics in St. Louis, Missouri

Position Overview:

The Soybean Crop Modeling Team at Climate is seeking a highly motivated researcher with demonstrated experience applying advanced statistics and data science methods to develop predictive agronomic models for soy crop systems.

This position is within the science R&D team that uses process, statistical, and machine-learning models, big data, and cloud computing to develop solutions for farmers via digital agriculture. You will work closely with collaborating teams focused on leveraging genetic, environmental and management data to create integrated models that can help farmers better manage key aspects of soybean crop to improve yield outcome.

The role involves working with diverse data sources, and will require the ability to apply statistical and machine learning models to soy crop data. In addition, a strong understanding and ability to communicate limitations and solutions surrounding data quality and/or quantity, as well as methodologies, to an interdisciplinary team of scientists and engineers is key. You will have the opportunity to work with the richest agricultural datasets available in the world to help farmers meet the challenges of feeding a growing population.

What You Will Do:

  • Explore, munge, and model large and diverse datasets

  • Design and prototype models using statistical modeling, process modeling, and other techniques such as machine learning

  • Implement and test algorithms and techniques relevant to achieving project objectives

  • 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:

  • PhD in Statistics, Biostatistics, Data Science, Applied Mathematics, or another highly quantitative discipline; or Masters degree plus two years of post-graduate experience.

  • Demonstrated ability to apply advanced statistical methodology and data science solutions to real-world problems

  • Strong proficiency in Python

  • Strong analytical and quantitative problem solving ability, with demonstrated ability to build, test, and iterate on a variety of model forms

  • Demonstrated ability to work in cross-functional environment

Preferred Qualifications:

  • Applied experience with agricultural science and/or agricultural datasets

  • At least 1 year of work experience applying statistics and data science to real-world problems

  • Machine learning experience

  • Experience in SQL, PySpark, or SparklyR/Spark

  • Ability to translate complex technical concepts to collaborations, decision makers, and non-technical audiences

  • 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

https://youtu.be/c5TgbpE9UBI or visit https://climate.com/careers

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 accommodations@climate.com .

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