Data Scientist

Role Overview

• 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.
• Use and develop data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization.
• Transform business, medical, or scientific questions into analytical ones and map out solutions, delivery, and impact.
• Identify business needs and propose 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.
• Communicate cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.
• Help further build the team by contributing ideas and standard methodologies and keeping abreast of developments in industry and academia.
• Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels.
• Create powerful stories in PowerPoint, with knowledge of MS Office Suite (Excel and PowerPoint).
• Assure compliance with regulatory, security, and privacy requirements as it relates to data assets.

Requirements

• 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.

Tech Stack

• Cloud
• Numpy
• Pandas
• Python
• PyTorch
• Scikit-Learn
• Spark
• SQL
• Tensorflow

Benefits

• 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.