{"id":1925282,"url":"https://alion.io/job/bayer-principal-data-scientist","title":"Principal Data Scientist","company":{"id":671164,"name":"Bayer","domain":"bayer.com","url":"https://alion.io/company/bayer-7","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":101000,"max_usd":207000,"period":"year","method":"global_role_seniority_cell","sample_n":521},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Hadoop","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Waterfall","optional":false}],"status":"live","first_seen_at":"2026-10-05T19:37:32Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-06T21:40:08Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nPrincipal Data Scientist\nPURPOSE:\nA Principal Data Scientist has complete oversight of data science within a platform. Individuals in this role will:\nSet direction\nBuild capability\nOversee resourcing, budgeting, professionalism and outputs and products\nSupport and enable future IT developments\nUnderstand and use a wide range of data science techniques, tools and technologies\nLead on ethics\nCommunicate and present data science and data ethics effectively to senior leaders\nChampion the role of data science in supporting organizational priorities, and in collaborative working across platforms and functions\nRepresent the platform on data science matters\nThis role will be located in Whippany, NJ. Candidates must live within reasonable commute to the Whippany, NJ site as remote working arrangements will not be accommodated.\nYOUR TASKS AND RESPONSIBILITIES:\nApplied Math, Statistics, and Scientific Practices\nIdentify opportunities to develop statistical insight, reports and models to support organizational objectives, while collaborating across the organization effectively;\nCritique statistical analyses;\nUse a variety of data analytics techniques (such as data mining and prescriptive and predictive analytics) for complex data analysis through the whole data life cycle;\nUse model outputs to produce evidence and help design services and policies;\nUnderstand a broad range of statistical tools, particularly those deployed within the organization, and can use these appropriately and help others to use them;\nData Engineering and Manipulation\nWork with data engineers and data scientists to design and deliver products into the organization effectively;\nUnderstand the reasons for cleansing and preparing data before including it in data science products and can put reusable processes and checks in place;\nAccess and use a range of architectures (including cloud and on-premise) and data manipulation and transformation tools deployed within the organization;\nData Science Innovation\nDemonstrate practical knowledge of data science tools and techniques;\nDevelop data science solutions that maximize insight;\nIdentify opportunities for how data science can improve data practices;\nKnowledge Graphs, Ontologies, and Generative AI\nDemonstrate strong knowledge of knowledge graph and ontology concepts, including semantic modeling, graph-based data integration, reasoning, and metadata management;\nApply semantic web standards and technologies, including RDF, OWL, and SHACL, to design, implement, validate, and govern enterprise ontologies and knowledge graphs;\nUse Generative AI and machine learning algorithms to accelerate ontology and knowledge graph development, including concept and relationship extraction, entity linking, taxonomy and schema generation, mapping, enrichment, and quality validation;\nDesign human-in-the-loop processes to review, evaluate, and improve GenAI-generated semantic assets for accuracy, traceability, consistency, and business relevance;\nCollaborate with domain experts, data architects, data engineers, and AI engineers to integrate knowledge graphs and ontologies into scalable data and AI products;\nDelivering Business Impact\nChampion the role of data science within the organization;\nUnderstand and champion user research, and can design and manage processes to gather and establish user needs;\nIdentify and create opportunities to develop and deliver data science products to support organizational objectives, while collaborating across the organization to fulfil meaningful goals;\nTake responsibility for delivering scalable data science products into the organization, and establishing maintenance support;\nDeveloping Data Science Capability\nAct as a leader or technical specialist, providing detailed support and guidance within the organization and helping colleagues to develop skills\nSet the direction of continuous development plans within the team;\nKeep up to date with new developments in data science and can match those to opportunities in your organization;\nTalk confidently about the benefits of data science approaches to existing and potential customers;\nDemonstrate an in-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and detailed knowledge of at least one specialty;\nUse these techniques to build data science solutions, including reports, models and dashboards;\nEthics and Privacy\nOversee compliance with data ethics standards and legislation;\nDevelop and manage the ethical framework for how data, machine learning and artificial intelligence techniques are used across the organization, ensuring data governance complies with relevant legislation and standards;\nEmbed a culture of data ethics and explain why this is so important;\nEnsure ethics guidance is appropriately applied to the formulation, implementation and evaluation of policies and programs;\nAssess and constructively challenge proposed policies and programs;\nProgramming and Build\nWrite and test scripts and create basic models in one or more languages\nCollaborate on shared codebases, using a variety of methodologies;\nUnderstanding Product Delivery;\nUnderstand the differences between delivery methods, such as Agile and Waterfall, and can choose the most appropriate method to deliver each product;\nDefine the minimum viable product (MVP) and support decisions about priorities;\nWork with specialists in multidisciplinary teams to smoothly deliver data science products into the organization;\nWorking Relations\nProduct Managers\nUX Designers\nData Scientists\nData Architects\nData Engineers\nData Stewards\nEnterprise Architects\nSoftware Engineers\nRelevant business leaders and stakeholders\nWHO YOU ARE:\nBayer seeks an incumbent who possesses the following:\nRequired Qualifications:\nMinimum of a Master’s Degree in Computer Science, Statistics, Mathematics, Data Science, or a related field, or a Bachelor’s Degree with minimum 10 years of related experience;\nStrong academic background with coursework or research in machine learning, AI, statistical modeling, and data analysis;\nProficiency in programming languages such as Python or R for data analysis and machine learning;\nFamiliarity with libraries and frameworks like TensorFlow, PyTorch, Scikit-Learn, Pandas, and NumPy;\nAdvanced knowledge of statistical methods and techniques;\nExperience in hypothesis testing, regression analysis, clustering, and classification;\nExpertise in machine learning algorithms and techniques;\nFamiliarity with big data technologies and frameworks (e.g., Hadoop, Spark);\nProficiency in SQL, relational database, and NoSQL databases;\nHands-on experience designing or implementing knowledge graphs and ontologies using RDF, OWL, and SHACL, including experience applying Generative AI techniques to support their creation, enrichment, mapping, or validation.\nPreferred Qualifications:\nStrong analytical and problem-solving skills;\nAbility to evaluate assumptions and limitations of data;\nExcellent verbal and written communication skills;\nExperience working collaboratively in interdisciplinary teams;\nDemonstrated experience in leading and mentoring other data scientists;\nAbility to align data science initiatives with business objectives;\nStrong decision-making skills.\nThis posting will be available for application until at least 10/19/2026.\nEmployees can expect to be paid a salary between $151,120 - $226,680. Additional compensation may include a bonus or commission (if relevant). Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc. If selected for this role, the offer may vary based on market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.\n\n YOUR APPLICATION\n\nBayer 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 Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.\nTo all recruitment agencies: Bayer does not accept unsolicited third party resumes.\nBayer is an Equal Opportunity Employer/Disabled/Veterans\nBayer 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.\n\nEqual Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.\n\nBayer is an E-Verify Employer.\n\nLocation:\nUnited States : New Jersey : Whippany \n\nDivision:\nEnabling Functions \n\nReference Code:\n884422 \n\nContact Us\n\n Email:\n","description_format":"text","description_chars":9478,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Farming & Agriculture","Health Care","Crop Protection","OTC & Consumer Health Products"],"lifecycle":[{"event":"open","at":"2026-10-05T19:37:32Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/bayer-principal-data-scientist","json_url":"https://alion.io/job/bayer-principal-data-scientist.json","meta":{"generated_at":"2026-10-07T01:06:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1887,"day_limit":5000,"remaining_today":3113,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":671164},"rest":"https://alion.io/mcp/rest/get_company?id=671164"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbayer-principal-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbayer-principal-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbayer-principal-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bayer-principal-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbayer-principal-data-scientist"}]}