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 is known today.

About The Role

Amgen is seeking a Sr. Associate Software Engineer with strong data science and analytics expertise to join the Digital Workplace Experience (DWX) Automation & Analytics product team. In this role, you will develop, maintain, and optimize machine learning models, forecasting tools, and operational dashboards that support strategic and day-to-day decisions for global digital workplace services.

This role is ideal for candidates with hands-on experience building predictive models and working with large operational datasets to uncover insights and deliver automation solutions. You will work alongside product owners, engineers, and service leads to deliver measurable business value using data-driven tools and techniques.

Roles and Responsibilities

Design, develop, and maintain predictive models, decision support tools, and dashboards using Python, R, SQL, Power BI, or similar platforms.
Partner with delivery teams to embed data science outputs into business operations, focusing on improving efficiency, reliability, and end-user experience in Digital Workplace services.
Build and automate data pipelines for data ingestion, cleansing, transformation, and model training using structured and unstructured datasets.
Monitor, maintain, and tune models to ensure accuracy, interpretability, and sustained business impact.
Support efforts to operationalize ML models by working with data engineers and platform teams on integration and automation.
Conduct data exploration, hypothesis testing, and statistical analysis to identify optimization opportunities across services like endpoint health, service desk operations, mobile technology, and collaboration platforms.
Provide ad hoc and recurring data-driven recommendations to improve automation performance, service delivery, and capacity forecasting.
Develop reusable components, templates, and frameworks that support analytics and automation scalability across DWX.
Collaborate with other data scientists, analysts, and developers to implement best practices in model development and lifecycle management.

What We Expect Of You

We are all different, yet we all use our outstanding contributions to serve patients. The vital attribute professional we seek is with these qualifications.

Basic Qualifications:

Master's degree / Bachelor's degree and 5 to 9 years in Data Science, Computer Science, IT, or related field

Must Have Skills

Data Science & ML: Proficient in Python (preferred) or R; experience with libraries such as scikit-learn, pandas, NumPy, XGBoost, and familiarity with TensorFlow or PyTorch. Skilled in supervised/unsupervised learning, time series forecasting, feature engineering, and hyper parameter tuning.
SQL & Data Engineering: Advanced SQL (joins, CTEs, window functions, optimization) with experience in relational databases (PostgreSQL, SQL Server, Oracle, MySQL) and data modeling (star/snowflake schema).
Databricks: Hands-on experience with Databricks notebooks (Python, SQL, PySpark), Delta Lake, MLflow, Unity Catalog, and Lakehouse architecture.
Visualization: Power BI expertise (DAX, Power Query, data model optimization) and/or Tableau (advanced calculations, LODs, performance tuning).

Nice-to-Have Skills

MLOps & Automation: Experience with Airflow, SageMaker, or Azure ML; knowledge of CI/CD for ML models and automated data pipelines.
Generative AI: Understanding of foundation models (LLMs, transformers, diffusion); hands-on experience with APIs from OpenAI, Azure OpenAI, HuggingFace; prompt engineering for summarization, classification, Q&A, and content generation; bonus for fine-tuning, RAG pipelines, or vector databases (FAISS, Pinecone).
Cloud Platforms: Familiarity with Azure (Data Factory, Synapse, Azure ML, Azure OpenAI), AWS (S3, Redshift, SageMaker), or GCP (BigQuery, Vertex AI).
ITSM & Agile: Exposure to ITIL practices or ITSM platforms (e.g., ServiceNow) and working knowledge of Agile/SAFe environments

Soft Skills

Analytical mindset with attention to detail and data integrity
Strong problem-solving and critical thinking skills
Ability to work independently and drive tasks to completion
Strong collaboration and teamwork skills
Adaptability in a fast-paced, evolving environment
Clear and concise documentation habits

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 accommodation.

Senior Associate Software Engineer