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 YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role, Lead Data Scientist, are to: <ul> <li>Drives rigorous research innovation in the modeling of genomics and phenomics using machine learning, deep learning, AI, and other novel techniques. </li> <li>Serves as a mentor for other data scientists within the team and genuinely embodies the principals of shared ownership. </li> <li>Builds and leads cross-functional projects linked to overall business strategy. </li> <li>Applies insights from analogous domains to advance science within Bayer. </li> <li>Identifies, defines and resolves unique problems at all levels within the organization. </li> <li>Assesses needs and recommends experiments and projects, suggests new algorithmic development, drives tactical decisions for both present and future modeling directions and needed data. </li> <li>Work within the analytics community to curate structured and unstructured data from disparate sources, cleanse and validate the data to ensure accuracy, completeness, and uniformity. Participates in strategic evaluations of new technologies and methodologies to support decision making processes. </li> <li>Partners with business and functions, data stewards, project/program managers and other IT teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. </li> <li>Works collaboratively with interdisciplinary scientists and IT to integrate and transform genomic and phenotypic data into actionable knowledge and recommendations). </li> <li>Successful at leading projects with high degree of complexity. Actively influences procedures and/or company policy. </li> <li>Develop stories and visualization to effectively communicate qualitative analytical insights in clear, precise and actionable manner. </li> <li>Demonstrates ability to deliver presentations to broad audiences across functions.</li></ul> 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: <ul> <li>Bachelor's degree or applied experience in at least one of the following areas: Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline.</li> <li>Expert level of proficiency in computational skills, including a deep understanding of advanced analytics techniques and emerging forms of analytics.</li> <li>Strong level of experience building data models using R, Python or other statistical and/or mathematical programming packages.</li> <li>Expert level of proficiency in Machine learning algorithms and concepts.</li> <li>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. </li> <li>Extensive experience in successful delivery of valuable analysis through application of domain knowledge; evidence of strong business acumen.</li> <li>Demonstrates advanced business acumen, people and project leadership competencies, and technical expertise.</li> <li>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 conference and collaborations.</li></ul> Preferred experience: <ul> <li>Masters or PhD degree in at least one of the following areas: Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline.</li></ul><ul> <li>5-12 years of experience </li></ul> Employees can expect to be paid a salary between $126,000 to $192,000. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This 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. 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 : Missouri : Chesterfield || United States : Residence Based : Residence Based Division: Crop Science Reference Code: 808895 Contact Us Email: hrop_usa@bayer.com

At Bayer were visionaries, driven to solve the worlds toughest challenges and striving for a world where 'Health for all Hunger for none is no longer a dream, but a real possibility. Were 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 youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, theres only one choice.Intern: Data EngineerYOUR TASKS AND RESPONSIBILITIESAs 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.The Science Research Data Engineering team is focused on creating competitive advantage for our customers through building out novel data infrastructure, metrics, insights and data services that enable the design, development, and implementation of data science insights that benefit growers. We are looking for someone to work with the relevant subject matter experts in Digital Farming to develop a method / process to consume and align and anonymize geospatial assets such as planting, crop treatments, harvesting, weather, soil, climate, etc data in a way that does not diminish the fidelity of the data while disconnecting the linkage back to a physical location that would be identifiable to a particular grower.In this role, your work will help us unlock the value of data and will enable data scientists to develop the next generation of digital ag solutions.WHO YOU AREYour 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 qualificationsEnrolled in a degreed program (upper-level BS, MS, or PhD) in a technical or STEM related field during the duration of the internship programWorking knowledge of at least one programming language (preferably Java, Scala, Python or Javascript)Experience utilizing and aligning geospatial data assetsExperience with relational databases and SQLPreferred qualificationsA solid foundation in data/computer science, with strong competencies in developing data pipelinesGIS experience working with vector and raster-based data assetsExperience with GIS toolsExperience utilizing agronomic data assets, such as weather and soil dataStrong curiosity, ownership, problem-solving skills and ability to adapt and learn quicklyWHAT WE OFFERSalary estimated range between $30-$50/hour, depending on degree level and the hiring locationMeals are provided in addition to our fully stocked kitchen with snacks and beverages1:1 mentoring from a talented and motivated teammateOpportunity to work on meaningful projects that have a direct impact on the companyExciting company sponsored events, activities, and learning opportunitiesOpportunities to interact with key executives and leadershipYOUR APPLICATIONAt 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 experiencedoesnt perfectly align with the job description, we still encourage you to apply. Were proud to be an equal opportunity employer. This means we actively pursue ways to celebrate our differences and dont 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 needassistance 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#J-18808-Ljbffrby Jobble

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Lead Data ScientistMay 14, 2024

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Data ScientistApril 29, 2024

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Intern Software Engineer Backend Summer 2024April 21, 2024

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