Monsanto Data Scientist/Sr. Data Scientist in ST. LOUIS, Missouri
Bayer is an innovation-driven company with a long tradition in research and development. “Bayer: Science For A Better Life” is the foundation of what we at Bayer Crop Science strive to achieve within the agricultural sector. Our contribution to society is based on helping to ensure an ample supply of high-quality food, feed, fiber and renewable raw materials.
The world, agriculture, and Bayer are being transformed by data science – data is the common language bridging science and the growers’ needs. We accelerate innovation and value creation for growers, in Bayer’s business and digital agriculture through the use of data science.
Our Data Science community is focused on creating competitive advantage for our customers and Bayer through state of the art IT and analytics systems. Our Data Scientists work collaboratively to solve critical problems and answer important questions that drive key decisions for our business. This is an exciting opportunity to work on all aspects of the design, development, validation, scaling and delivery of analytical solutions to positively impact people and the planet. Come join this exciting team!
You will have the opportunity to work collaboratively within a Data Science Community, the community is large, more than 600 members globally, and diverse, spread across all organizations in the company.
Imagine yourself being part of the team that feeds the world. Bayer’s products for major row crops are on over 45% of global acreages. The world’s population is expected to grow to 9.6 billion people over the next few decades, which means farmers will need to grow as much food in the next 50 years as they did in the past 10,000 years combined. To accomplish this…
Bayer’s Global Crop Science Research & Development team is responsible for increasing productivity by 60% to be able to feed the planet by 2050.
Our Global Market Development team is responsible for developing integrated solutions under farm conditions and creating a compelling value proposition to optimize the productivity of every acre.
Plant breeding, plant biotechnology, crop protection, Ag biologicals and data science are all in line to deliver on next the breakthrough technology, which is the key to accomplishing these tasks.
Bayer’s Global Product Supply team is responsible for improving internal operations and ensuring our customers have the right products at the highest quality. They collaborate with other R&D teams to research and develop breakthrough technologies to revolutionize seed production and delivery and analyze customer care data to improve service.
Our Crop Science IT Analytics team works directly with Bayer scientists, business leads, and digital platform teams to develop data driven software solutions that enable cutting-edge research and development to revolutionize plant breeding and biotechnology, optimize supply chain logistics and deliver best customer experience.
Come and be part of this exciting innovation that will change history, providing solutions to important global problems.
Bayer Crop Science’s more than 600 person Data Science Community is excited to learn more about you…
Do you have a desire to address important global and scientific challenges to produce more food, conserve more resources and improve lives through data science?
Do you have a Ph.D. Degree in an analytical discipline – Machine Learning, Electrical Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Applied Mathematics, or related field or Master’s Degree with applied experience?
Do you demonstrate computational skills and experience with R or other Statistical & Mathematical programming packages?
Are strong organizational, interpersonal, and problem solving skills a strength of yours?
Are you able to communicate complex qualitative analysis in a clear, precise and actionable manner to influence key stakeholders including internal customers and senior managers?
Are you proficient in Machine learning algorithms and concepts (Ensembles, Deep Learning, SVM, etc.)?
Does working in a matrix environment, leading & influencing people at varying levels of responsibility excite you?
Would you like to apply statistical/machine learning solutions on a scalable platform to real-world applications?
Are you passionate about being a part of a broader Bayer Crop Science Data Science community?
Are you ready to join?
We have hundreds of parks including the nationally acclaimed Forest Park which is one of the largest urban parks in the country at 1,300 acres. In addition to it’s size and beauty Forest Park is home to many free attractions including; St. Louis Zoo, St. Louis Science Center, Art Museum and Missouri History Museum as well as is home to the Muny an outdoor Opera House.
St. Louis is within driving distance for a weekend getaway to multiple cities in the Midwest, including Kansas City or Chicago. You may also choose to take a day trip to visit beautiful Missouri Wine Country and visit any of our more than 10 wineries.
Most of our roles are based in St. Louis, MO, however we do recruit for Data Science roles in various location.
We are actively recruiting for current and future roles*
Bayer successfully completed the acquisition of Monsanto in June 2018, bringing together Monsanto’s leadership in seeds and plant traits with Bayer’s leadership in chemical and biological crop protection. By joining forces, we will create even more extensive career opportunities for talent around the world. We’re a global team working to shape agriculture through breakthrough innovation that will benefit farmers, consumers, and our planet.
While we are now Bayer, we will continue to hire using separate career sites until we can integrate our career platforms. We invite you to explore the career opportunities available at the combined company by visiting advancingtogether.com/careers .
Organization: IT BP Crop Science & Digital Transform.51013817_
Title: Data Scientist/Sr. Data Scientist
Location: North America-USA-Missouri-St. Louis
Requisition ID: 01OZF
Job: Research & Development
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