ABOUT THE ROLE
Role Description:
Amgen is seeking a Sr. Data Scientist to develop, design and deploy AI enabled forecasting models. You will apply deep technical expertise—from data ingestion to model deployment—to scale forecasting models across R&D, Manufacturing, and Commercial for critical needs
You will manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand. The Sr. Data Scientist should be well versed in moving models from development to production and have a good sense for tracking and updating model performance. Also, you will distill complicated technical work to understandable and actionable outputs for key stakeholders.
Roles & Responsibilities:
- Integral part of a high performing team of data scientists and engineers looking to translate machine learning algorithms into effective solutions focused on forecasting
- Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify patterns and anomalies
- Develop or lead development of high-performance forecasting algorithms, prototypes, predictive models, and proof of concepts using a cutting-edge technical stack
- Design and implement analytics pipelines leveraging MLOps practices
- Collaborate with data engineers on data quality assessment, data cleansing, and the development of operational data pipelines
- Further build the teamby contributing ideas and standard methodologies, and keeping abreast of developments in industry and academia
- Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels
- Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
- Share and discuss findings with team members practicing SAFe Agile delivery model
Must-Have Skills:
- Proven experience working on large-scale forecasting solutions that drive measurable business outcomes
- Advanced proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Experience in analyzing time-series data for forecasting and trend analysis
- Experience 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
- Familiarity with the modern data stack: distributed computing tools (Spark, Hive, etc.), cloud computing environments, and source code control technologies (e.g. Git)
- 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
- Experience with Databricks platform for data analytics and MLOps
- Strong communication skills – capable of presenting complicated and nuanced work in a clear, concise, and understandable manner to a diverse audience
Nice-to-Have Skills:
- Experience in Biotechnology or pharma industry is a big plus
- 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
- 8+ Years of relevant work experience
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus
Soft Skills:
- Initiative to explore alternate technology and approaches to solving problems
- Skilled in breaking down problems, documenting problem statements, and estimating efforts
- 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