Sr Data Scientist - Forecasting

Career Category Information Systems Job Description 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. 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: Integ ral 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 team by 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: E xperience in Biotechnology or pharma industry is a big plus

Master’s degree in computer science and / or d ata s cience

Familiarity with Agile methodologies and Scaled Agile Framework ( SAFe ) fo r 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

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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