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Senior Data Scientist

US - IL - Deerfield

Pay
USD 134,168.25–181,521.75/year — pay source
.Salary Range 134,168.25USD -181,521.75 USD
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted.
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Work setting
On-site — work setting source
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
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Sponsorship for this role is not guaranteed.
Read the full posting
Apply at Amgen

What you’ll work on

Full posting
  • Lead end-to-end data science and AI projects for commercial teams

  • Design and deploy predictive models and production analytics in Python, SQL, PySpark

  • Apply causal inference and test/control methods to measure promotional impact

  • Translate complex analyses into actionable recommendations for stakeholders

  • Provide technical leadership and mentorship to the team

From the employer’s posting
independently lead analytical workstreams
Designing, building, validating, and deploying high-performance algorithms, predictive models, prototypes, and production-ready analytical solutions using Python, SQL, and PySpark
Applying advanced measurement and experimentation approaches, including test/control design, causal inference, attribution
translate sophisticated analyses into clear, actionable business recommendations
Providing technical leadership and mentorship

What you’ll bring

All qualifications

Core experience

  • 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

Preferred experience

  • Demonstrated experience independently leading end-to-end data science or advanced analytics projects and delivering measurable business value
  • 134,168.25USD -181,521.75 USD
  • 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
Qualification wording
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
Demonstrated experience independently leading end-to-end data science or advanced analytics projects and delivering measurable business value
134,168.25USD -181,521.75 USD
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
Education & alternatives
Basic Qualifications: - Doctorate degree OR - Master’s degree and 2 years of Data Science or related quantitative experience OR
- 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
- 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

Tools in this posting

  • Python
  • SQL
  • Databricks
  • Spark
  • NumPy
  • pandas
  • PySpark
  • PyTorch
  • scikit-learn
  • TensorFlow
Source — Tool mentions in context
· 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.
- 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
- 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
- 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

Posting record

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Status in our records
Live
First seen by us
Sep 30, 2026 · 28 days ago
Recorded sightings
32
Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

Career Category

Sales & Marketing Operations

Job Description

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.


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.

 

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

 

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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Salary Range

134,168.25USD -181,521.75 USD
Source details

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Source notes

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Pay
.Salary Range 134,168.25USD -181,521.75 USD
More source context
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted.
Location & working pattern

US - IL - Deerfield

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
Work authorization
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. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

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