Data Science Intern

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, Disease Prediction

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, we 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

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, Machine Learning, Physics, or related technical field from an academic institution
• Experience in solving analytical problems using quantitative approaches (or equivalent)
• Experience with Python, scikit-learn, and SQL

Preferred qualifications

• Strong written and oral communication skills
• Experience with statistical analysis
• A drive to understand and derive meaningful insights from data and results
• Experience with Machine Learning and Statistical Models

WHAT WE OFFER

• Salary estimated range between $33-$46/hour, depending degree level and the hiring location
• Meals are provided in addition to our fully stocked kitchen with snacks and beverages
• 1:1 mentoring from a talented and motivated teammate
• Opportunity to work on meaningful projects that have a direct impact on the company
• Exciting company sponsored events, activities, and learning opportunities
• Opportunities to interact with key executives and leadership

YOUR APPLICATION

At Bayer, we strive to build inclusive experiences for candidates and employees alike in which a diverse set of perspectives and voices are represented. If this role sounds exciting to you but your experience doesn’t perfectly align with the job description, we still encourage you to apply.

We’re proud to be an equal opportunity employer. This means we actively pursue ways to celebrate our differences and don’t 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, contact us at DFS_accomodations@bayer.com.

Learn more about our team and mission: https://www.bayer.com/en/us/careers