Data Scientist Computer Vision

at Bayer
Published November 22, 2022
Location Chesterfield, United States of America
Category Data Science  
Job Type Full-time  


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 Computer Vision

Your Tasks And Responsibilities

The primary responsibilities of this role, Data Scientist Computer Vision, are to:

  • Provide technical contributions in a fast-paced team environment to accelerate our efforts on building cutting-edge workflows and applications for capturing, processing, and analyzing large data sets;
  • Create novel and apply state-of-the-art methods and technologies from computer vision, machine learning, and deep learning in pilot projects together with scientists from across R&D;
  • Identify tangible value creations, work towards communicating learnings and successes and establish the application of such approaches within R&D;
  • Provide guidance and recommendation to project teams on requirements for data collection in field, lab or manufacturing settings and corresponding labeling, cataloging and storage needs;
  • Perform statistical analysis, computer programming, predictive modeling, and experimental design;
  • Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community;
  • Utilize advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions;
  • Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators;
  • Present validated results to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business;
  • Demonstrate a moderate level of autonomy in building relationships and networks within current function, interacts often with Data Scientists within organization and peer business partners;
  • Serve as consultant to management and others within a specific area/discipline;
  • Collaborate regularly, acquire support and partnership from cross-functional scientific, engineering and IT teams across the company.

Who You Are

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

Required Qualifications:

  • Doctoral degree (PhD) or Master's degree: with experience in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Statistics, Applied Mathematics, or other related quantitative discipline;
  • Experience with visualization, rapid prototyping, and reporting tools such as Spotfire, PowerBI, Tableau and R-Shiny;
  • Experience with geospatial image analytics, agricultural image analysis, deployment of computer vision models in cloud infrastructure as well as mobile apps;
  • Demonstrates basic understanding of software development best practices: Version Control, Code Documentation & Review, Cloud Based Sequence Analysis, Database Management;
  • Exemplify visionary mindset and ability to think and act strategically, combined with execution orientation; ability to solve problems and to structure and simplify complex tasks; experience in successful delivery of valuable analysis through application of domain knowledge;
  • Demonstrate strong business acumen;
  • Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to extended team and small groups of key stakeholders;
  • Fluent in English, both verbal and written.

Preferred Qualifications:

  • Two+ years demonstrated experience developing end-to-end deep learning and machine learning pipelines including data preprocessing, model development and evaluation, model deployment, data, and model drift detections;
  • Two+ years of practical experience in developing and deploying computer vision and deep learning solutions to solve real world problems using deep learning libraries such as TensorFlow, Keras, MXNet, PyTorch and Scikit-Learn.


  • VISA Sponsorship may be available for this role
  • Domestic relocation may be available for this role


Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

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.

IMPORTANT NOTE for POTENTIAL US CANDIDATES: Bayer expects its employees to be fully vaccinated against COVID-19. Bayer active employees are also expected to disclose their vaccination status and if fully vaccinated, provide proof of vaccination status to Occupational Medicine. Bayer defines fully vaccinated in alignment with CDC which is two weeks after completing the two-dose vaccine regimen or two weeks after completing the one-dose regimen. Additionally, Bayer employees are also required to comply with state, local and customer requirements.

Location: United States : Missouri : Chesterfield

Division: Crop Science

Reference Code: 780862

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