Senior Data Scientist

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

Let’s do this. Let’s change the world. In this vital role you will serve a critical function within Organizational, Planning, Analytics & Insights with a goal of enterprise-wide, long-term workforce transformation by connecting people, financial, procurement & capability data to enable business insights & decisions. The Sr. Data Scientist will collaborate with the Tech and Data lead for OPA&I and will be responsible for identifying requirements, building data analytics solutions and visualizations and advancing novel technical solutions for OPA&I strategic objectives.

Roles & Responsibilities:

• Understand, Connect & Integrate Data: Develop and maintain robust methods to connect data from various sources including HR, Finance, Procurement, and Activities. Ensure seamless integration and synchronization between systems and databases. Implement strategies and tools to efficiently run and process structured and unstructured data. Establish and implement data validation procedures to ensure data accuracy and consistency.
• Deliver Data Insights: Develop and implement interactive dashboards and visualizations to provide collaborators with easy access to workforce and financial planning insights. Collaborate with multi-functional teams to understand their data needs and tailor visual solutions accordingly. Use advanced analytics, models, and GenAI solutions to uncover trends, patterns, and actionable insights. Present data findings in a clear and compelling manner that enhances decision-making.
• Integrate Business Processes with Data Systems Holistically: Develop and deploy solutions that seamlessly support business workflows with data infrastructure. Consistently pursue enhancements to boost efficiency and alignment using data-driven approaches. Partner with business collaborators to advise on comprehensive solutions. Oversee projects aimed at improving data quality and operational performance within business processes. Guarantee consistency to data standards and maintain data integrity across all business systems.
• Leadership: Provide strategic direction and mentorship to junior data scientists, fostering a collaborative and innovative environment. Encourage continuous learning and development within the team, and lead by example in adopting standard processes and advanced methodologies. Leading collaborator engagement and overseeing the design and implementation of data visualizations to ensure clear and effective communication of insights.

What we expect of you

• Master’s degree in computer science or quantitative field plus 4 to 6 years of relevant experience OR
• Bachelor’s degree in computer science or quantitative field plus and 6 to 8 years of relevant experience OR
• Diploma and Minimum of 10+ years of relevant work experience

Must-Have Skills:

• Experience with Databricks (or Snowflake), including cluster setup, execution, and tuning. Experience with other ETL tools like Alteryx is also acceptable.
• Experience building ETL or ELT pipelines; Hands-on experience with SQL/NoSQL
• Experience with one or more programming languages, Python, R, SAS, Scala, or Java.
• Experience with common data processing libraries: Pandas, PySpark, SQLAlchemy.
• Experience building dashboards and end-user interfaces using visualization tools such as Power BI, Tableau and Spotfire
• Experience working with collaborators to define requirements and design data solutions
• Experience building data analytics and business intelligence solutions with financial and workforce data
• Experience performing exploratory and targeted data analyses using descriptive statistics and other methods.
• Experience leading data analytics or business intelligence projects.
• Experience working in Agile-based teams

Good-to-Have Skills:

• Experience with NLP or GenAI tools like OpenAI.
• Experience with software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
• Conceptual understanding of DevOps tools (Ansible/ Gitlab CI/CD / GitHub / Docker /Jenkins)
• Experience with R/Python-based visualization frameworks such as Shiny, Dash, Streamlit

Professional Certifications:

• Databricks (preferred)
• Tableau/Power BI/Alteryx (preferred)

Soft Skills:

• Excellent analytical and solving 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
• Strong presentation and public speaking skills