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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.


Data Scientist- Digital Farming Solution 


Why Bayer?

“Health for all and Hunger for none” is our mission at Bayer. Every day, we are privileged to work on purposeful cutting-edge projects to bring our mission to life. Join us at Bayer to have a career that you can put your passion into practice and make an impact using Science for a better life.


For our newly established IT Hub, we are looking for:


Data Scientist - Digital Farming Solution


The primary responsibilities of this role, Data Scientist – Digital Farming Solution are to support Digital Farming Solutions in the EMEA region with the following:


Develop & Deliver:


  • Build and support applications, APIs, and automated tools that enable rapid experimentation and business adoption of data science solutions.
  • Deliver analytics solutions for the customer-centric commercial operations of Bayer Crop Science. Topics include but are not limited to pricing, customer analytics, segmentation analysis, and risk models. Results will drive business decisions and significant revenue.
  • Develop practical, interpretable, and automated solutions for business problems through expertise in predictive modeling, statistical analysis, simulation, and optimization methodology in a highly interactive, team-oriented environment.
  • Write model documentation to detail problem formulation, modeling approach, validation, data requirements and implementation steps.
  • Support stakeholder requests for model development and feature improvements and be able to communicate results to a broad range of audience in a clear, interpretable manner.


Collaborate & Communicate:


  • Work closely with data science teams and business partners to break down complex business problems, gather requirements to build feasible solutions that are impactful, accurate and validated.
  • Collaborate with system integration and data warehouse engineers on data extraction and data cleaning. 
  • Be creative, resourceful, detail-oriented, able to take initiative and exercise critical thinking when it comes to problem solving.
  • Be a proactive member of a global data science team to adopt and advocate for coding best practice and documentation. 


Required Qualifications:


  1. Bachelor’s degree with at least 4 + of experience, Master’s degree with 2+ years of experience or a PhD in one of the following areas: Data Science, Economics, Electrical/Industrial Engineering, Applied Mathematics, Statistics, Computer Science or other related quantitative discipline.
  2. Expert programming skills in R for machine learning and data manipulation and proficient with version-control tools (such as Github).
  3. Experience conducting statistical inference, statistical simulation, and building machine learning models using disparate sources of data. 
  4. Excellent work ethic, and a strong desire to learn new skills for technical and professional growth.
  5. Fluent communication in business English.
  6. Experience working in an international environment.
  7. Ability to work on multiple projects in a changing environment.


Preferred Qualifications:


  1. Experience developing applications in R-Shiny.
  2. Experience with front-end web technologies (HTML, CSS, and JavaScript).
  3. Experience working with AWS S3 and REST APIs is a plus.
  4. Experience with automated report generation in RMarkdown is a plus.
  5. Experience with working with and modelling economic and financial data.
  6. Experience in related fields where data science techniques are used, including agriculture, economics/econometrics, biology, math, physics or engineering.


About the team:


  • Global data science organization is a 70+ and growing team of highly skilled, talented, and dedicated data scientists working with different business teams across Bayer Crop Science
  • The commercial data science branch is 25+ and growing with collaborators across global business 
  • Within each data science branch are working groups that are typically a team of 2-3 
  • The Digital Farming Solution Team in EMEA is a 60+ team of colleagues with a broad range of positions within many different areas such as Innovation, Commercial, Marketing, Digital. They are dedicated to work together towards the transformation of the EMEA business building off our leadership in digital, innovation and sustainability to become digitally enabled ag leader company. The purpose of the team is to shape agriculture for the benefit of farmers, consumers and the planet, by driving a more sustainable food system through a farmer-centric, outcomes-based and digitally enabled approach.




We Offer:


  • A flexible hybrid work model 
  • Career development, 360° Feedback & Mentoring programme
  • Wide access to professional development tools, trainings, & conferences
  • Competitive salary, annual bonus & top performers awards
  • VIP Medical Care Package (including Dental & Mental health) 
  • Pension plan
  • Holiday allowance (“Wczasy pod gruszą”)
  • Life & Travel Insurance 
  • Co-financed sport card with unlimited usage 
  • Meals Subsidy in Office 
  • Home Office Setup & Maintenance allowance
  • New & exciting open office space coming in Spring ‘22




Our inclusive culture at Bayer:


Bayer is an equal opportunity employer. We care about inclusion in terms of gender, age, race, skin color, nationality, religion, marital status, sexual orientation, background, physical or mental disabilities and on every other grounds. Applying for our position, we assure you that we will assess your application solely on the basis of your competencies.


Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. 

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.

Location: Poland : Mazowieckie : Warszawa     
Division: Enabling Functions    
Reference Code: 591301     




Poland : Mazowieckie : Warszawa  



Enabling Functions 


Reference Code:


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