Sr Data Scientist
About The Position
The Senior Data Scientist will join the Data Sciences team in Global Customer Capabilities & Innovation and develop advanced analytics and data science solutions for complex business problems across commercial functions and therapeutic areas. The role partners with commercial insights and analytics, brand teams, sales operations, data teams, external vendors, media agencies, service owners, and information systems partners. The position independently leads analytical workstreams, applies technical expertise to large and complex healthcare datasets, develops and productionizes machine learning and AI solutions, and turns analyses into actionable business recommendations. It also provides technical leadership, establishes methodological standards, and mentors team members. This is a flexible commuter role to the Deerfield, Illinois site, with on-site work required at least two days per week.
Requirements
- Doctorate degree; or a master’s degree and 2 years of data science or related quantitative experience; or a bachelor’s degree and 4 years; or an associate’s degree and 8 years; or a high school diploma/GED and 10 years.
- Strong programming skills in Python, SQL, and PySpark.
- Strong experience designing, evaluating, and applying supervised and unsupervised machine learning models.
- Strong statistical, analytical, and problem-solving skills, including the ability to choose suitable methodologies and communicate assumptions and limitations.
- Ability to manage multiple complex analytical workstreams, prioritize effectively, and work independently in an ambiguous, fast-paced environment.
- 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 to translate technical analyses into clear, precise, actionable recommendations for business stakeholders.
Nice To Haves
- Demonstrated experience independently leading end-to-end data science or advanced analytics projects and delivering measurable business value.
- Familiarity with Pandas, scikit-learn, TensorFlow, NumPy, PyTorch, Spark, or equivalent machine learning libraries and frameworks.
- Experience with large, complex datasets and modern data platforms, including distributed computing, cloud environments, Databricks/Spark, and source control technologies such as Git.
- Experience with commercial measurement, such as experimentation, test/control design, causal inference, attribution, marketing effectiveness, or related impact measurement methods.
- Experience with transformer-based modeling or other advanced machine learning approaches; practical AI/GenAI experience or strong knowledge of emerging AI capabilities.
- Biotechnology, pharmaceutical, or healthcare industry experience, including familiarity with claims, patient, HCP, sales, or promotional data.
Responsibilities
- Lead the development and application of data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization.
- Translate complex business, medical, or scientific questions into analytical frameworks, defining solutions, success measures, delivery plans, and expected business impact.
- Identify high-value business opportunities and recommend appropriate analytical, statistical, machine learning, or AI approaches.
- Design, build, validate, and deploy high-performance algorithms, predictive models, prototypes, and production-ready analytical solutions using Python, SQL, and PySpark.
- Apply measurement and experimentation methods, including test/control design, causal inference, and attribution, to quantify business and promotional impact where appropriate.
- Partner with stakeholders to align on methodology, data requirements, assumptions, limitations, and interpretation of results.
- Provide technical leadership and mentorship, contribute reusable methodologies and best practices, and stay current with developments in data science, machine learning, AI, and industry analytics.
- Communicate complex analytical findings and recommendations to technical, scientific, medical, commercial, and executive stakeholders through clear storytelling and presentations.
- Ensure analytical solutions comply with applicable regulatory, security, privacy, data governance, and documentation requirements.
Benefits
- Health and welfare plans for staff and eligible dependents.
- Retirement and Savings Plan with company contributions.
- Group medical, dental, and vision coverage.
- Life and disability insurance.
- Flexible spending accounts.
- Discretionary annual bonus program, or a sales-based incentive plan for field sales representatives.
- Stock-based long-term incentives.
- Award-winning time-off plans.
- Flexible work models where possible.
- Career development opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
