Associate Data Scientist

Role Description:

Amgen is seeking a n Associate Data Scientist to develop, design and deploy AI enabled forecasting models . You will apply 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 Associate Data Scientist should be familiar with moving models from development to production and have a good sense for tracking and updating model performance.

Roles & Responsibilities:

• Integ ral part of a high performing team of data scientists and engineers looking to translate m achine l earning algorithms into effective solutions focused on forecasting

• Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify patterns and anomalies

• Assist in d evelop ment of high-performance forecasting algorithms , prototypes, predictive models, and proof of concepts using a cutting-edge technical stack

• Develop 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

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

• Familiarity with 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, DALLE, 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)

• Famili ar with 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

• 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

• Foundation in machine learning algorithms and techniques

Education and Professional Certifications

• Masters degree or Bachelors degree in Computer Science, Business, Engineering, IT or related field

• 2+ 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