Amgen
SeniorAssociateSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Associate Software Engineer at Amgen. Skills: Data Science & ML, SQL & Data Engineering, Databricks, Visualization. Develop, maintain, and optimize machine learning models, forecasting tools, and operational dashboards. Design, develop, and maintain predictive models, decision support tools, and dashboards”
What You'll Achieve.
improve efficiency, reliability, and end-user experience in Digital Workplace services; deliver automation solutions; deliver measurable business value using data-driven tools and techniques; improve automation performance, service delivery, and capacity forecasting
Industry & Context.
problem-solving and critical thinking skills
What They're Looking For.
Must Have
Master's degree / Bachelor's degree and 5 to 9 years in Data Science, Computer Science, IT, or related field, Proficient in Python, experience with libraries such as scikit-learn, pandas, NumPy, XGBoost, familiarity with TensorFlow or PyTorch, Skilled in supervised/unsupervised learning, time series forecasting, feature engineering, and hyper parameter tuning, Advanced SQL (joins, CTEs, window functions, optimization), experience in relational databases (PostgreSQL, SQL Server, Oracle, MySQL), data modeling (star/snowflake schema), Hands-on experience with Databricks notebooks (Python, SQL, PySpark), Delta Lake, MLflow, Unity Catalog, Lakehouse architecture, Power BI expertise (DAX, Power Query, data model optimization), Tableau (advanced calculations, LODs, performance tuning)
Nice to Have
Experience with Airflow, SageMaker, Azure ML, knowledge of CI/CD for ML models and automated data pipelines, 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, fine-tuning, RAG pipelines, vector databases (FAISS, Pinecone), Familiarity with Azure (Data Factory, Synapse, Azure ML, Azure OpenAI), AWS (S3, Redshift, SageMaker), GCP (BigQuery, Vertex AI), Exposure to ITIL practices or ITSM platforms (e.g., ServiceNow), working knowledge of Agile/SAFe environments
What You'll Do.
and optimize machine learning models
and operational dashboards
and maintain predictive models
decision support tools
Build and automate data pipelines for data ingestion
and tune models to ensure accuracy
and sustained business impact
Support efforts to operationalize ML models
Conduct data exploration
and statistical analysis
Provide ad hoc and recurring data-driven recommendations
Develop reusable components
How You'll Work.
Team & Collaboration
Partner with delivery teams to embed data science outputs into business operations; Collaborate with other data scientists, analysts, and developers to implement best practices; Work alongside product owners, engineers, and service leads
Communication Scope
Clear and concise documentation habits
Full Job Description
## **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 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 aut
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