{"id":2273669,"url":"https://alion.io/job/merck-co-senior-data-scientist-machine-learning-generative-ai","title":"Senior Data Scientist (Machine Learning & Generative AI)","company":{"id":3768,"name":"Merck & Co.","domain":"msd.com","url":"https://alion.io/company/msd","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":238,"ghost_share":0.013,"stale_share":0.063,"repost_share":0.088,"time_to_fill_p50_days":12,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rahway, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":129000,"max":203100,"currency":"USD","period":"year","gross":null,"usd_annual":203100},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"A2A","optional":true},{"name":"AI Agents","optional":true},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude Code","optional":true},{"name":"Computer Vision","optional":true},{"name":"CrewAI","optional":true},{"name":"Cursor","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI Codex","optional":true},{"name":"Pre-training","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-10-07T00:00:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-15T14:46:23Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Description\nJob Summary:\nAs a Senior Data Scientist, you will leverage your expertise in machine learning model development, generative AI, and software engineering to rapidly prototype and deploy advanced analytics products for our manufacturing division. You will collaborate with cross-functional teams, including IT, engineering, and operations, to design and implement robust advanced analytics solutions at scale within production systems. You will also engage in ad-hoc consulting roles to support various projects across the organization. Our data science team contributes to different project phases, from ideation and business case development, through data discovery and preparation, to model development, prototyping, and facilitating adoption.\nPrimary Job Responsibilities:\nIndependently design and develop innovative quantitative methodologies, leveraging different methods and approaches in machine learning, deep learning, and generative AI, to drive data-driven decision-making and influence key initiatives within the company.\n\nApply data science, machine learning, and deep learning techniques to create tools for process monitoring, process optimization, and predictive analytics.\n\nDevelop end-to-end digital solutions, including automation of data workflows and integration into existing systems.\n\nEngage with customers and stakeholders to understand their needs, requirements, expectations, and potential opportunities, ensuring alignment with business objectives.\n\nBuild and disseminate in-depth domain knowledge of emerging trends in one or more sub-specialty areas of data analytics, fostering collaboration with cross-functional stakeholders.\n\nDesign, lead, and document the development of analytics applications, platforms, and processes to unlock value through scientific insights.\n\nStay updated on current best practices, methodologies, and technologies in AI, machine learning, and data science landscape, including compliance and ethical considerations.\n\nRequired Skills:\nExtensive knowledge of both traditional supervised and unsupervised machine learning algorithms, as well as familiarity with advanced deep learning architectures.\n\nProven hands-on experience with Python, including practical skills with libraries such as scikit-learn, Keras, TensorFlow, or PyTorch.\n\nFamiliarity with feature engineering and exploratory data analysis for both structured and unstructured data sets.\n\nKnowledge of experiment tracking methodologies and tools to monitor model performance and maintain reproducibility.\n\nExceptional communication skills to effectively convey complex information to both technical and non-technical stakeholders.\n\nA strong software engineering mindset, emphasizing the importance of producing high-quality code, documentation, and pipelines.\n\nA data-centric mindset, focusing on how data can be leveraged to create actionable insights and drive business value.\n\nExperience working within Agile frameworks and methodologies.\n\nPreferred Qualifications:\nUnderstanding of generative AI including large language models and vision language models, RAG, pre-training, and/or fine-tuning for specific applications.\n\nExperience with agents, agentic AI platforms (CrewAI, LangGraph, LangChain, AutoGen, Semantic Kernel, Bedrock, Strands, etc), agent tooling and protocols (MCP, A2A), and/or AI coding tools (Claude Code, Cursor, Codex, Open Claw)\n\nFamiliarity with graph networks, semantic layers, and causal inference.\n\nFamiliarity with deep learning applications or inference, computer vision, autoencoders, etc.\n\nFamiliarity with modern MLOps tools and best practices for lifecycle management including CI/CD pipelines, containerization technologies such as Docker, and deploying machine learning models in cloud environments such as AWS, Databricks, or similar platforms.\n\nEducation:\nBachelor’s degree required\n\nPreferred Ph.D. in chemical engineering, applied mathematics, or other technical fields with expertise in data science and machine learning projects or master’s degree in data science, computer science, applied statistics/mathematics, chemical engineering, or a related field with 2+ years of relevant experience in data science and machine learning projects.\n\nRequired Skills:\nAgile Methodology, Agile Methodology, Applied Mathematics, Business Analytics, Business Case Development, Change Catalyst, Chemical Engineering, Cheminformatics, Compliance Analytics, Containerization, Cross-Functional Collaboration, Data Mining, Data Science, Detail-Oriented, Emerging Trends, Generative AI, Information Architecture Design, Information Systems Engineering, Machine Learning (ML), Modeling Simulations, Pharmacogenetics, Predictive Modeling, Prototyping, Software Tool Development, Stakeholder Engagement {+ 2 more}Preferred Skills:\nCurrent Employees apply HERE\nCurrent Contingent Workers apply HERE\nUS and Puerto Rico Residents Only:\nOur company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.\nAs an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. Asa federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:\nEEOC Know Your Rights\nEEOC GINA Supplement\nWe are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.\nLearn more about your rights, including under California, Colorado and other US State Acts\nThe salary range for this role is\n$129,000.00 - $203,100.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.\nThe successful candidate will be eligible for annual bonus and long-term incentive, if applicable.\nWe offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.\nYou can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.\nSan Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance\nLos Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance\nSearch Firm Representatives Please Read Carefully\nMerck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.\nEmployee Status:\nRegularRelocation:\nDomesticVISA Sponsorship:\nNoTravel Requirements:\nNo Travel RequiredFlexible Work Arrangements:\nHybridShift:\nNot IndicatedValid Driving License:\nNoHazardous Material(s):\nN/AJob Posting End Date:\n10/12/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.","description_format":"text","description_chars":8956,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Puerto Rico","iso":"PR","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Financial Services","Health Care","Veterinary Medicine","Biologics & Biosimilars"],"lifecycle":[{"event":"open","at":"2026-10-11T08:19:41Z"}],"visa":[],"liveness":{"score":71,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.79,"p_room":0.9,"age_days":8,"expected_fill_days":12,"reasons":["conf:0","velocity","win:mid","comp:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":203100,"is_top_pay":true},"html_url":"https://alion.io/job/merck-co-senior-data-scientist-machine-learning-generative-ai","json_url":"https://alion.io/job/merck-co-senior-data-scientist-machine-learning-generative-ai.json","meta":{"generated_at":"2026-10-15T15:51:58Z","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_verified","counted_by":"address","units_charged":1,"used_today":24260,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":3768},"rest":"https://alion.io/mcp/rest/get_company?id=3768"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmerck-co-senior-data-scientist-machine-learning-generative-ai"},{"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%2Fmerck-co-senior-data-scientist-machine-learning-generative-ai"},{"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%2Fmerck-co-senior-data-scientist-machine-learning-generative-ai"},{"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/merck-co-senior-data-scientist-machine-learning-generative-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmerck-co-senior-data-scientist-machine-learning-generative-ai"}]}