Sr Data Scientist

Amgen • Deerfield, IL

1d • $134,168 - $181,522 • Hybrid

About The Position

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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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. Sr Data Scientist (GCCI) Sr Data Scientist Flexible Commuter role to Deerfield, IL site. You will work on-site a minimum of 2 days a week. What you will do Let’s do this. Let’s change the world. In this vital role as part of the Data Sciences team in Global Customer Capabilities & Innovation, the Senior Data Scientist will partner with commercial insights and analytics, brand teams, sales operations, data teams, external vendor partners, media agencies, service owners, and IS partners to develop advanced analytics and data science solutions that address complex business problems across multiple therapeutic areas and commercial functions. This individual will independently lead analytical workstreams, apply deep technical expertise to large and complex healthcare datasets, develop and productionize machine learning and AI solutions, and translate sophisticated analyses into clear, actionable business recommendations. The Senior Data Scientist will also contribute technical leadership, methodological standards, and mentorship across the team.

Requirements

• Doctorate degree OR Master’s degree and 2 years of Data Science or related quantitative experience OR Bachelor’s degree and 4 years of Data Science or related quantitative experience OR Associate’s degree and 8 years of Data Science or related quantitative experience OR High school diploma / GED and 10 years of Data Science or related quantitative experience

Nice To Haves

• Demonstrated experience independently leading end-to-end data science or advanced analytics projects and delivering measurable business value
• Strong programming skills in Python, SQL and PySpark
• Strong experience designing, evaluating, and applying supervised and unsupervised machine learning models, with familiarity with libraries and frameworks such as Pandas, scikit-learn, TensorFlow, NumPy, PyTorch, Spark, or equivalent tools
• Experience working with large, complex datasets and modern data platforms, including distributed computing, cloud environments, Databricks/Spark, and source control technologies such as Git
• Strong statistical, analytical, and problem-solving skills, with the ability to select appropriate methodologies and communicate assumptions and limitations
• Ability to manage multiple complex analytical workstreams, prioritize effectively, and operate independently in an ambiguous, fast-paced environment
• Demonstrated ability to collaborate with and influence cross-functional business and technical partners and drive analytical projects from problem definition through implementation and adoption
• Strong communication and storytelling skills, with the ability to translate complex technical analyses into clear, precise, and actionable recommendations for business stakeholders
• Experience with commercial measurement approaches such as experimentation, test/control design, causal inference, attribution, marketing effectiveness, or related impact measurement methods
• Preferred experience with transformer-based modeling and/or other advanced machine learning approaches; practical experience with AI/GenAI use cases or strong knowledge of emerging AI capabilities is highly valued
• Biotech/pharmaceutical or healthcare industry experience, including familiarity with healthcare data such as claims, patient, HCP, sales, or promotional data, is a plus

Responsibilities

• Leading the development and application of data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization.
• Translating complex business, medical, or scientific questions into analytical frameworks and defining appropriate solutions, success measures, delivery plans, and business impact.
• Identifying high-value business opportunities and independently recommending fit-for-purpose analytical, statistical, machine learning, or AI approaches.
• Designing, building, validating, and deploying high-performance algorithms, predictive models, prototypes, and production-ready analytical solutions using Python, SQL, and PySpark, with a focus on performance, interpretability, scalability, and actionability.
• Applying advanced measurement and experimentation approaches, including test/control design, causal inference, attribution, and other methods, to quantify business and promotional impact where appropriate.
• Partnering cross-functionally with stakeholders to align on methodology, data requirements, assumptions, limitations, and interpretation of results.
• Providing technical leadership and mentorship, contributing reusable methodologies and best practices, and staying current with developments in data science, machine learning, AI, and industry analytics.
• Communicating complex analytical findings and recommendations clearly to technical, scientific, medical, commercial, and executive stakeholders through compelling storytelling and presentations.
• Ensuring analytical solutions comply with applicable regulatory, security, privacy, data governance, and documentation requirements.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed