Data Science Intern

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Description

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Intern: Data Science

YOUR TASKS AND RESPONSIBILITIES

As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience. With groundbreaking technologies like Climate FieldView and our ForGround regenerative agriculture platform, our team is a part of some of the most important advancements in ag.

Digital Farming at Bayer is looking for a Data Science intern to join our team. We are seeking a highly motivated graduate-level student with a strong background in solving analytical problems using quantitative approaches. As part of our team, you will help develop methodology to build predictive agronomic models incorporating key data layers such as soil, vegetation, water resources, weather, environmental characteristics, and crop yield by leveraging the latest in data science, geospatial analytics, and remote sensing tools. If you are interested in applying your skills in data to help farmers, Climate would love to talk to you!

• Develop/validate/refine predictive models by corroborating with ground truth data
• Mine massive datasets of spatial science, remote sensing, or other data types and perform large-scale data analysis to extract useful agriculture business insights
• Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating results to cross functional groups
• Identify and build measurable actionable trends within our product pipeline in agriculture
• Collaborate with other data scientists to develop models, test techniques, and resolve issues

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks someone who possesses the following:

Required qualifications

• Pursuing a MS or PhD degree in Statistics, Applied Mathematics, Computer Science, Data Science, Biostatistics, Epidemiology, Quantitative Genetics, or related technical field from an academic institution
• Experience in solving analytical problems using quantitative approaches (or equivalent)
• Experience with SQL and at least one programming languages (Python, R, Java)

Preferred qualifications