{"id":993508,"url":"https://alion.io/job/takeda-senior-data-scientist-2","title":"Senior Data Scientist","company":{"id":5984,"name":"Takeda Pharmaceutical","domain":"takeda.com","url":"https://alion.io/company/takeda","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":24,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-09-26T05:45:00Z"}},"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":"explicit","locations":["Santa Fe, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":97000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1254},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Jenkins","optional":false},{"name":"Keras","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-09-26T23:42:01Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.\nJob Description\nThe Future Begins Here\nAt Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-driven capabilities, we are improving the lives of millions of patients around the world.\nMexico City has been selected to be home to Takeda’s recently launched Innovation Capability Center thanks to its international recognition in qualified and experienced talent in the data, digital and technology fields. We invite you to join our digital transformation journey.\nIn this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.\nAt Takeda’s ICC we Unite in Diversity\nTakeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators’ journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.\nAbout the role:\nThe Senior Data Scientist is responsible for performing complex data analysis to support business operations, with a primary focus on machine learning applications.\nThis role involves developing data architectures, mining methodologies, and machine learning models to identify trends and insights from large datasets.\nBy implementing advanced data science principles and techniques, this role helps drive informed business decisions and contributes significantly to Takeda’s mission.\nHow will you contribute:\nCollect and analyze large datasets from diverse sources to drive key business insights.\nDevelop machine learning models, including supervised and unsupervised learning techniques, to predict and optimize business outcomes.\nImplement and optimize deep learning architectures and algorithms such as neural networks and reinforcement learning.\nConstruct data architectures, models, and protocols to identify trends and insights.\nCreate visualizations and dashboards to present data insights to stakeholders clearly and effectively.\nWork collaboratively with cross-functional teams to integrate machine learning insights into business strategies.\nManage projects independently and provide guidance to junior professionals.\nStay updated with the latest trends and advancements in machine learning and data science, applying them as needed.\nImplement MLOps best practices to streamline the deployment, monitoring, and lifecycle management of machine learning models in production environments using tools such as MLflow, Kubeflow, or Amazon SageMaker, Databricks.\nCollaborate with engineering teams to build scalable, reliable, and automated pipelines for machine learning workflows, leveraging tools like Airflow, Prefect, or AWS Step Functions for orchestration.\nEnsure robustness and compliance of ML solutions, focusing on CI/CD processes with tools like GitHub Actions, Jenkins, or Azure DevOps.\nCollaborate with teams to integrate LLM-based capabilities, such as advanced natural language understanding, automated content generation, and conversational AI, into existing workflows and applications.\nLead evaluation and implementation of responsible AI practices, ensuring ethical and regulatory compliance when deploying Generative AI models.\nWhat you bring to Takeda:\nBachelor or higher educational background in mathematics, computer science, statistics, economics, or related fields.\n5+ years of relevant experience.\nProficient in programming languages such as Python and R, with a strong emphasis on machine learning libraries (e.g., scikit-learn, TensorFlow, Keras, PyTorch).\nStrong understanding of machine learning algorithms, including regression, classification, clustering, and dimensionality reduction techniques.\nExperience with deep learning frameworks and building complex neural network models.\nExpertise in natural language processing (NLP) techniques and applications.\nProficiency in data visualization tools like Tableau or Power BI, and ability to communicate findings effectively.\nStrong data manipulation and database management skills, including SQL.\nAnalytical thinking and problem-solving skills with the ability to develop innovative solutions.\nStrong business acumen and ability to translate machine learning insights into actionable business strategies.\nExcellent communication and interpersonal skills for effective collaboration with stakeholders.\nKnowledge of AutoML platforms and emerging technologies like generative AI.\nHands-on experience with MLOps platforms (e.g., MLflow, Kubeflow, or SageMaker) for managing the end-to-end lifecycle of machine learning models.\nExperience with containerization technologies (e.g., Docker) and orchestration frameworks (e.g., Kubernetes) for scalable deployment of ML models.\nDesign, fine-tune, and deploy applications using Generative AI models such as GPT, LLaMA, or other state-of-the-art Large Language Models (LLMs) to drive innovative solutions across business functions.\nWhat Takeda’s ICC Can Offer You\nAt Takeda, you take the lead on building and shaping your own career.\nJoining the ICC in Mexico City will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.\nIt is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:\nCompetitive Salary + Performance Annual Bonus\n\nMonthly Supermarket and Food Vouchers\n\nFlexible Working Schemes\n\nComprehensive Healthcare Insurance Plans: Life, Medical, Dental & Vision\n\nAdditional Time Off\n\nDiversity, Equity, and Inclusion Programs\n\nWork Location: Mexico City - Santa Fe.\nHybrid model with a minimum in-office requirement of at least 10 (ten) days per month.\nIf you have further inquiries on the ICC Mexico City or this role, follow us on LinkedIn, and look up for our upcoming online events where we will elaborate on open roles and host Q&A sessions.\nLocations\nMEX - Santa FeWorker Type\nEmployeeWorker Sub-Type\nRegularTime Type\nFull time","description_format":"text","description_chars":6552,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Neurology & CNS Therapeutics","Rare Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-17T05:48:52Z"}],"liveness":{"score":41,"band":"fade","label":"Fading","p_open":1,"p_active":0.546,"p_room":0.75,"age_days":18,"expected_fill_days":22,"reasons":["conf:1","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/takeda-senior-data-scientist-2","json_url":"https://alion.io/job/takeda-senior-data-scientist-2.json","meta":{"generated_at":"2026-09-27T00:08:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":75,"day_limit":5000,"remaining_today":4925,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}