Using and developing data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization
Transforming business, medical, or scientific questions into analytical ones and mapping out solutions, delivery, and impact
Identifying business needs and proposing potential analytical approaches for solutions
Building high-performance algorithms, prototypes, predictive models, and proof of concepts using Python or R with reliable performance, interpretability, and action-ability
Effectively communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
Helping further build the team, including by contributing ideas and standard methodologies and keeping abreast of developments in industry and academia
Communicating effectively and influencing a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels
Creating powerful stories in PowerPoint, with knowledge of MS Office Suite (Excel and PowerPoint)
Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets

Bachelor’s degree OR Associate’s degree and 4 years of experience in a quantitative field OR High school diploma / GED and 6 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

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

Associate Data Scientist

Key skills