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.
Duties:
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; and Work on Large Scale Data architectures and leverage AWS cloud platforms to build ETL pipelines for data science experiments. May telecommute.
Requirements: Master's degree in Information Systems, Data Science or related field & 2 years of experience involving the following:
1. Campaign measurement, marketing analytics and resource optimization;
2. Programming experience with Python, R, or SAS;
3. Working with large datasets;
4. Distributed computing tools including Spark;
5. Data science relating to Biotechnology or Pharmaceutical industry; and
6. Data Wrangling and analysis using python, R, or SQL.
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:
Apply now and make a lasting impact with the Amgen team.
Tagged as: Life Sciences
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