{"id":3343695,"url":"https://alion.io/job/amgen-senior-data-scientist-3","title":"Senior Data Scientist","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":353,"ghost_share":0,"stale_share":0.578,"repost_share":0.003,"time_to_fill_p50_days":42,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"CNN","optional":false},{"name":"CUDA","optional":false},{"name":"Design Controls","optional":false},{"name":"GNN","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NLP","optional":false},{"name":"NLTK","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Pandas","optional":false},{"name":"PHP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TensorBoard","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-07-06T00:00:00Z","employer_posted_date":"2026-07-06","last_verified_at":"2026-10-28T18:14:24Z","board_verified":true,"closed_at":null,"days_open":114,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":114},"description":"Career Category\nInformation SystemsJob Description\nAs a Senior Data Scientist, you will build and model digital product and platforms that bring Amgen’s AI/ML and GenAI solutions to life.\nThis role has to collaborate with Amgen’s Technical Architect, Product Manager, UX designers, and Back-end engineers to design secure, scalable, and user-centric products that accelerate discovery, manufacturing, and commercial analytics, corporate functions products\n Key Responsibilities\nStrong experience with statistics and machine learning, including deep learning, natural language processing (NLP) and, experience in building cloud-scale systems and working with open-source stacks for data\nExperiment with large language models (LLM), Artificial intelligence (AI) for code or related fields, Generative AI, Foundational Models, Supervised and Unsupervised Learning\nCollaborate with cross-functional teams to understand the requirement and design solutions that meet business needs. Also with Data Architects, Business SMEs, and Technical Architect to design and develop to meet fast-paced business needs.\nExplore new tools and technologies that will help rapid development of solutions\nParticipate in sprint planning meetings and provide estimations on technical implementation \nEmbed responsible-AI and security-by-design controls\nExperience in Generative AI, Foundational Models, LLM's, Feature Engineering, Selection & Extraction, BI & Automation, Predictive Modelling, Data Visualization, CNN, RNN, GNN, Transformers, Exploratory Data Analysis and Causal AI\nFamiliarity with Python packages (Pytorch, TensorFlow, Hugging FaceScikit-learn, Pandas, NumPy, Matplotlib, Cloud Vision API, RAG, TensorBoard, OpenCV,NLTK)), programming languages ( C, C++, Java, CUDA,SQL, NoSQL, PHP, HTML, JS, CSS etc.)\n Required Qualifications\n6-12 years of experience in Data Science (eg: managing structured and unstructured data, applying statistical techniques and reporting 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