CD&A Data Scientist

Amgen

Data Scientist collaborating with multiple teams to implement data science solutions at Amgen. Focused on analyzing complex datasets and delivering actionable insights for business challenges.

Posted 6/9/2026full-timeThousand Oaks • California, Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $103,852 - $140,506 per yearWebsite

Tech Stack

Tools & technologies

CloudNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Collaborate with business partners including commercial insights and analytics, brand teams, sales operations, data teams, external vendor partners, media agencies, service owners, and IS partners to create solutions and insights to solve challenging business problems across multiple therapeutic areas and commercial functions.
Apply deep technical expertise to manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand.
Transform business, medical, or scientific questions into analytical ones and mapping out solutions, delivery, and impact.
Identify business needs and proposing potential analytical approaches for solutions.
Build high-performance algorithms, prototypes, predictive models, and proof of concepts using Python or R with reliable performance, interpretability, and action-ability.
Effectively communicate cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.
Help further build the team, including by contributing ideas and standard methodologies and keeping abreast of developments in industry and academia.
Create powerful stories in PowerPoint, with knowledge of MS Office Suite (Excel and PowerPoint).

Requirements

What you’ll need

Master’s degree OR Bachelor's degree and 2 years of experience in a quantitative field OR Associate’s degree and 6 years of experience in a quantitative field OR High school diploma / GED and 8 years of experience in a quantitative field
Experience in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value
Strong programming skills in Python, SQL, and/or R
Experience with data science and machine learning-related libraries in Python (Pandas, scikit-learn, TensorFlow, NumPy, PyTorch, MLib, etc)
Highly motivated with eagerness to learn and adapt to new subjects
Technical aptitude with strong logical, problem-solving, and decision-making skills
Excellent organization/planning skills and talent for managing many large and complex datasets
Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
Ability to communicate analysis in a clear, precise, and impactful manner
Familiarity with the modern data stack: distributed computing tools (Spark, Hive, etc.), cloud computing environments, and source code control technologies (e.g. Git)
Passion for learning and staying on top of current developments in data science
Biotech / Pharma industry experience

Benefits

Comp & perks

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
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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata manipulationalgorithm developmentpredictive modelingPythonRSQLdata science librariessupervised learningunsupervised learning

Soft Skills

problem-solvingdecision-makingorganizationplanningcollaborationinfluencecommunicationadaptabilitymotivationcreativity