Data Scientist – Forecasting Full-time

Data Scientist – Forecasting

Amgen is seeking a Data Scientist to develop, design, and deploy AI enabled forecasting models. You will apply deep technical expertise to scale forecasting models across R&D, Manufacturing, and Commercial.

You will manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand. The 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 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 and stakeholders

Must-Have Skills:

• Experience in analyzing time-series data for forecasting and trend analysis

• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)

• Experience in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value

• Familiarity with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications across domains in forecasting

• Understanding of 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, and time series 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

• 5+ 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.