Career Category
Sales & Marketing Operations
Job Description

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.

Specific roles and responsibilities could include:
• 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.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The collaborative and analytically driven professional we seek is a Senior Data Scientist with these qualifications.

Basic Qualifications:

• 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

Preferred Qualifications:

• 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

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• 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. Refer to the Work Location Type in the job posting to see if this applies.

Apply now for a career that defies imagination

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship for this role is not guaranteed.