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Lead, manage, and develop Bayer Digital Farming Solutions Product Security and Trust function which is responsible for design, development, delivery, and maintenance of cybersecurity requirements and guidance for digital commercial products Leads development of multiple product security engineers and cross-functional efforts, and be accountable for execution of business unit comprehensive security strategy Accountable for managing department budget, conducting financial forecasting, and overseeing resource allocations Builds relationships and partners with functional areas across the business to raise awareness and support for cybersecurity Lead and manage division product security organization, to include planning tied to business needs around multiple product lines and business specific requirements Provides overall accountability for resource/project management for department, including matching people to projects, obtaining needed resources, etc. Coordinates remediation of non-compliant items to meet applicable compliance standards Partners with development team and product engineering leadership team to proactively communicate Product Security requirements and promoting control frameworks to ensure functional goals are met Drive a consistent approach towards digital agriculture standards regarding Cyber-Security and Assurance requirements for all product groups creating comprehensive goals and metrics Drive external engagement with tied industry standards bodies, working groups, regulators, and customers to showcase Bayer's capabilities and passion for secure digital products Extend the Security Champions Community and efforts into tailored Digital Farming Solutions relevancy Partner with relevant CSRM capabilities to deliver and enhance services across the DFS technology and service portfolio achieving higher levels of integration and embedded support Bayer seeks an incumbent who possesses the following: 15+ years' experience with product development and/or digital product security with 5+ years' experience with a dedicated focus on digital products (SaaS, Hardware, Software) and cyber security 4+ years' experience leading and managing teams with demonstrated expertise in team building, people development, and a proven track record of fostering collaborative environments and enhancing team performance Experience and comfort with AGILE Program Management and supporting software organizations Demonstrated experience identifying, measuring, and reporting performance metrics in a form that is easily consumable by senior Leadership Excellent communication skills with all levels within the organization and with external stakeholders Demonstrated experience tracking and responding to regulatory changes Demonstrated experience and practical knowledge around various cyber standards - HIPAA, ISO 27001/2, NIST Cyber Framework Experience working in the digital agriculture or agronomic space for product security Experience developing complex strategic initiatives and tactically delivering results", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://climate.eightfold.ai/careers/job/25787368", "isPrivate": false}, {"id": 25980106, "name": "Engineering Manager", "location": "St. Louis,Missouri,United States", "locations": ["St. Louis,Missouri,United States"], "hot": 0, "department": "Engineering", "business_unit": "Engineering", "t_update": 1731435922, "t_create": 1729528462, "ats_job_id": "onPHufw7", "display_job_id": "3631", "type": "ATS", "id_locale": "3631-en", "job_description": "Climate LLC: Engineering Manager for St. Louis, MO to lead development, delivery & support of large-scale, distributed remote sensing platforms; collaborate with stakeholders & architects to define requirements and technical design for remote sensing platforms; reduce technical debt through platform infrastructure design; manage, guide, mentor & develop software engineering team. Requires Master's in C.S., Computer or Electrical Engineering, or closely-related field & 2 yrs experience using AWS architecture, technologies, services & optimizations to develop large-scale, distributed data platforms; leading large-scale data pipeline development using machine learning & artificial intelligence methodologies, including Python and Docker, to process remote sensing data; using Jira to coordinate & track project requirements; collaborating with cross-functional stakeholders, including business & technical teams; applying software development lifecycle methodologies to process and communicate data to stakeholders; using geospatial information systems; analyzing satellite imagery, drone imagery & LIDAR data to support environment monitoring. Will also accept Bachelor's in said fields & 5 yrs progressive, post-Bachelor's stated experience. Up to 20% U.S. travel req'd. Telecommuting permitted from home office location anywhere in the U.S. Mail resume to Jill Martin, Climate LLC, 4 CityPlace Drive, Suite 100, St. Louis, MO 63141 or email resume to careers_climate_us@bayer.com. Reference Job Code 3631.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://climate.eightfold.ai/careers/job/25980106", "isPrivate": false}, {"id": 25980040, "name": "Data Scientist", "location": "St. Louis,Missouri,United States", "locations": ["St. Louis,Missouri,United States"], "hot": 0, "department": "Science", "business_unit": "Science", "t_update": 1731444631, "t_create": 1729527787, "ats_job_id": "oQOHufwz", "display_job_id": "3627", "type": "ATS", "id_locale": "3627-en", "job_description": "Climate LLC: Data Scientist for St. Louis, MO to deliver scientific breakthroughs through application of predictive analytics, risk optimization & statistics; collaborate with cross-functional scientists to predict product performance through data science analytics; explore, munge & model large datasets; design, prototype & finalize models for production using statistical and processing modeling and machine learning techniques; implement & test algorithms; analyze & resolve issues with data quality; select modeling techniques & data visualization for large datasets. Requires Master's in Statistics, Mathematics, C.S., Computer Engineering or closely-related field & 2 yrs experience building predictive machine learning & statistical models for research applications; writing code in Python with data science packages, including Numpy, Pandas, Matplotlib, Seaborn & Sklearn; building, training & validating deep learning models using TensorFlow and Keras; conducting exploratory data analysis to evaluate data trends; working with large, complex datasets using SQL; using version control systems, including Git, to track code history; joining large & diverse datasets across multiple databases and performing data quality checks; and communicating with technical & non-technical stakeholders, including business and/or academic stakeholders, peer groups and team members. Telecommuting permitted. Mail resume to Jill Martin, Climate LLC, 4 CityPlace Drive, Suite 100, St. Louis, MO 63141 or email resume to careers_climate_us@bayer.com. Reference Job Code 3627.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://climate.eightfold.ai/careers/job/25980040", "isPrivate": false}, {"id": 25980107, "name": "Lead Data Scientist", "location": "San Francisco,California,United States", "locations": ["San Francisco,California,United States"], "hot": 0, "department": "Science", "business_unit": "Science", "t_update": 1731435894, "t_create": 1729527340, "ats_job_id": "ooOHufw7", "display_job_id": "3625", "type": "ATS", "id_locale": "3625-en", "job_description": "Climate LLC: Lead Data Scientist for San Francisco, CA to lead data research projects & development of agronomic customer behavior models to improve business outcomes; develop & execute project briefs; drive agronomic project prioritization; oversee team in planning & implementing research improvements using statistical and modeling techniques; perform code review of agronomic models for department; set research strategy & ensure alignment with business strategy; manage communication of modeling results & predicted outcomes to internal and external stakeholders; mentor & coach junior data scientists. Requires Master's in Data Science, Business Analytics, Operations Research or closely related quantitative field & 2 yrs experience building predictive machine learning and Bayesian statistical models using Python and Tensorflow to derive insights from agronomic, biotech and/or environmental data; joining & curating large, diverse datasets across multiple databases using PySpark and YARN to evaluate agronomic, biotech and/or environmental data quality; performing exploratory data analysis to evaluate data trends using Matplotlib and/or Seaborn in Domino; building descriptive & predictive machine learning and statistical models for research applications on scalable platforms, including AWS Sagemaker, ECR and Docker; building Python modules into stable & reusable Conda packages; using version control systems, including Gitlab; creating & deploying CI/CD pipelines with Artifactory; and performing code review. Up to 10% U.S. travel req'd. Telecommuting permitted up to 3 days per wk from home office location within reasonable commuting distance of San Francisco, CA. Salary Range: Employees can expect to be paid a salary between $150,000.00 to $170,000.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The offered salary may vary within this range 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. Mail resume to Jill Martin, Climate LLC, 4 CityPlace Drive, Suite 100, St. Louis, MO 63141 or email resume to careers_climate_us@bayer.com. 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Requires Master's in C.S., I.T., Digital Technology or closely-related field & 2 yrs experience designing and executing software development lifecycle tools and processes; leading and/or participating in the development of digital products throughout the complete product development lifecycle, including concept, delivery & go-to-market; developing & executing product roadmaps; analyzing business workflows to gather insights & applying insights to enhance IT product development; working on projects involving multiple business units; evaluating market-oriented ecosystem capabilities; identifying & decomposing problems, use cases, and business needs into tasks and stories; designing & executing scalable solutions using SAFe Agile concepts; communicating with business partners, end-users & stakeholders to gather and understand business requirements; translating business requirements into digital IT products; and communicating IT product information to business partners, end-users & stakeholders, including information regarding product development schedules and budgets. Will also accept Bachelor's in said fields & 5 yrs progressive post-Bachelor's stated experience. Up to 20% U.S. travel req'd. Telecommuting permitted from anywhere in the U.S. Mail resume to Jill Martin, Climate LLC, 4 CityPlace Drive, Suite 100, St. Louis, MO 63141 or email resume to careers_climate\u00ad_us@bayer.com. 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