Sr. Manager Data Sciences
1 week ago
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
ABOUT THE ROLE
Role Description:
Amgen is seeking a Sr. Manager Data Science to lead the design and development of AI enabled forecasting models. You will own the technical oversight and drive execution—from data ingestion to model deployment —so our models can work across R&D, Manufacturing, and Commercial for critical forecasting needs.
As a senior manager, you'll also mentor data science team members and partner with cross functional leaders to provide a strategic vision.
Roles & Responsibilities:
Lead a high performing teamof data scientists and engineers to achieve objectives while fostering a culture of collaboration and continuous learning
Evaluate domain needs (R&D, Manufacturing, Commercial) into prioritized roadmaps; communicate technical trade-offs to stakeholders
Oversee the development, validation, and deployment of AI enabled forecasting models
Partner with enterprise teams to curate, clean, and transform internal and external datasets for use in forecasting models
Certify team compliance with ethical AI practices, regulatory requirements, and data governance standards
Ensuremethodological consistency in data exploration and model building with well documented assumptions, explainability and reproducibility
Implement best practices for MLOps for model deployment and monitoring
Experiment with cutting edge technology such as generative AI, transformers, and other techniques to improve model metrics
Translateforecasting outputs into business-ready insightsfor decision-makers in R&D, finance, and commercial functions
Optimize cost and ROI tradeoff to deliver high impact outputs (GPU/CPU utilization, memory allocation, tech overhead)
Must-Have Skills:
Proven experience delivering large-scale forecasting solutions that drive measurable business outcomes
At least 3 years experience of managing AI/ML teams
Expert in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Advanced proficiency in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value
Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications across domains in forecasting
Experience with Databricks platform for data analytics and MLOps
Proficiency in state-of-the-art machine learning tools, such as deep learning frameworks, transformer models, NLP models, time series models and Bayesian models, with demonstrated and interpretable insight and impact
Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives
Nice-to-Have Skills:
Experience in Biotechnology or pharma industry is a big plus
Published thought-leadership or conference talks on enterprise GenAI adoption.
Master's degree in computer science and/or data science
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.
Education and Professional Certifications
- Master's degree or Bachelor's degree in Computer Science, Business, Engineering, IT or related field
- 13+ Years of relevant work experience
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus
Soft Skills:
Excellent analytical and troubleshooting skills
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation
Ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals
Ability to learn quickly, be organized and detail oriented
Strong presentation and public speaking skills
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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