Senior Data Scientist

Amgen•Thousand Oaks, CA

11h

About The Position

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. 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 What you will do and what we expect of you Let’s do this. Let’s change the world. In this vital role you will:

Requirements

Master’s degree in Information Systems, Data Science or related field & 2 years of experience involving the following:
Campaign measurement, marketing analytics and resource optimization
Programming experience with Python, R, or SAS
Working with large datasets
Distributed computing tools including Spark
Data science relating to Biotechnology or Pharmaceutical industry
Data Wrangling and analysis using python, R, or SQL.

Responsibilities

Leading the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies
Leading measurement and tracking of omnichannel CX enablement initiatives
Extract, clean, pre-process and analyze large-scale structured and unstructured datasets to uncover insights that drive engagement and key Metrics
Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level
Develop, Prototype, and deploy predictive models using ML, Deep Learning and Generative AI NLP techniques, architecting Data science frameworks for use cases such as Next Best Action Recommendation, and other recommender systems to optimize Omnichannel strategies that helps to serve patients
Measuring the impact of cross-channel campaigns and the overall omnichannel program
Identifying business needs and proposing potential analytics approaches for solutions
Communicating analysis ideas, progress and results to leadership and business partners regarding omni channel
Utilize big data frameworks like Spark, SQL, Python for distributed computing and scalable data processing
Work on Large Scale Data architectures and leverage AWS cloud platforms to build ETL pipelines for data science experiments.

Benefits

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus or for sales roles, other incentive compensation
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, including remote and hybrid work arrangements, where possible