Job 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.** **Lead Data Scientist** As a Lead Data Scientist, you will be responsible for delivering BLUP (Best Linear Unbiased Prediction) and legacy prediction model pipelines that serve all crops and regions of Bayer Plant Breeding. You'll work collaboratively with interdisciplinary scientists, IT and engineering professionals across the organization to solve critical problems and answer important questions that drive key decisions for our business. In addition, the Lead Data Scientist will provide tactical and strategic guidance to others; act as a liaison between teams, collaborators and key stakeholders; and develop and deliver presentations and strategies. You will also foster new game-changing ideas to produce sophisticated, intelligent optimization solutions and predictive models. While an individual contributor with other Data Scientists, you may lead others or large scale cross functional projects, develop strategy, provide insight into allocation of resources (resourcing and planning), and mentor or develop others. **YOUR TASKS AND RESPONSIBILITIES** The primary responsibilities of this role are to: + Be accountable for the conception, architecture, engineering and delivery of leading-edge data science solutions for production BLUP, genomic prediction, and legacy model workflows to business partners working in local and global teams. + Function as a subject matter expert and Data Science Ambassador while fostering internal and external partnerships for collaborative initiatives. + Independently perform statistical analysis, computer programming, predictive modeling, and experimental design + Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators for the BLUP pipeline and the suite of deployed legacy models + Contribute to the development of code, bioinformatic analyses pipelines, computational tools, and databases for mining and visualizing large genomic data sets + Explore and implement modeling and IT solutions to enhance the current BLUP and genomic prediction workflows + Collaborate with cross-functional teams to streamline and automate workflows across various functions and countries + Troubleshoot and optimize existing models and processes to improve efficiency + Use advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions + Use AI, deep learning (RNN / CNN), and other cutting-edge techniques, to evaluate how new technologies help us better understand connections between genomes and environments, and how we can use them to improve new plant genetics + Lead initiatives within the Data Science Community + Guide others (direct or indirect), set strategy, identify technical gaps, apply data science acumen to unsolved business goals, and prioritize and allocate resources + Contribute to building the US Data Science Community by assisting with recruitment, development, and retention of high performing individuals + Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community + Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in the business + Effectively communicate complex statistical concepts and findings to both technical and non-technical stakeholders through presentations and written reports **WHO YOU ARE** Bayer seeks an incumbent who possesses the following: Required: + Bachelor's degree with 12+ years of experience or Master's degree with 8+ year's experience or PhD with 5+ years of experience + Educational background or practical experience in one or more of the following fields: Quantitative Genetics, Plant Breeding, Animal Breeding, Machine Learning, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science, or other related quantitative disciplines + Extensive experience in software development best practices, including version control, code documentation and review + 5+ years' experience with at least one of R, Python, Java, Scala, C/C++ Expert level of proficiency in Machine learning algorithms and concepts + Professional expertise in competencies in linear modeling, scientific modeling, and development and application of increased domain knowledge; proficiency in standard suite and/or modeling theories + In-depth knowledge of genomic prediction models, including GBLUP and machine learning approaches, with an understanding of their theoretical foundations and practical applications + 5+ years of experience in deploying scaled BLUP pipelines to support large-scale plant breeding programs + Extensive experience with genomic prediction software (e.g., BLUPF90, ASREML, Mix99) and experience in quantitative analysis + Extensive experience in successful delivery of valuable analysis through application of domain knowledge + Advanced business acumen, people and project leadership competencies, and technical expertise + Excellent communication skills with the ability to communicate complex qualitative analysis in a clear, precise and actionable manner and deliver presentations to large audiences, executive leadership, and externally at conferences and collaborations + Ability to work in a matrixed environment, leading & influencing people at varying levels of responsibility Preferred: + Experience within genetics/the agricultural industry is an asset Employees can expect to be paid a salary of approximately $120k-180k. Additional compensation may include a bonus or incentive program (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc..  This salary (or salary range) is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least 8/29/25. **YOUR APPLICATION** 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. Bayer is an E-Verify Employer. **Location:** United States : Residence Based : Residence Based **Division:** Crop Science **Reference Code:** 850894 **Contact Us** **Email:** hrop_usa@bayer.com

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