Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Job Description
The Marketing Analytics and Business Insights (MABI) function supports AbbVie's US organization and is comprised of highly respected researchers, analysts, data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry. We serve as strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop. We continue to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. We are a passionate, diverse, flexible, and inclusive organization with a culture that supports the best ideas, wherever they originate. We are smart, fun, quirky, and innovative - and we'd love for you to join us.
This role is part of an Analytics Center of Excellence housed within the MABI function that aims to differentiate AbbVie as a leader in omni-channel customer experiences and to build lasting relationships with consumers through omni-channel experiences powered by data and analytics.
The individual in this role will be a key contributor to the team responsible for omni-channel analytics supporting the growing roadmap of consumer capabilities. This individual is skilled in designing and conducting analytics to optimize an integrated customer experience across channels.
Core Job Responsibilities
- Develop and implement methods for extracting patterns and correlations from both internal and external data sources using machine learning toolkits.
- Construct and develop predictive models that are reliable, scalable, and modular.
- Maintain and optimize existing machine learning models.
- Develop plan to put machine learning models into production.
- Adopt new tools/techniques to increase performance, automation, and scalability.
- Report, visualize and communicate results to internal stakeholders on a regular basis.
- Work with stakeholders to define business questions, requirements, timelines, objectives, and success criteria.
- Examine relevant data and quickly develop an analytics plan that will answer key business questions and create value for clients.
- Work with data sets of varying degrees of size and complexity, including both structured and unstructured data.
- Transform data into actionable insights and recommendations. Present clear and concise results. This includes processing, cleansing, and verifying the integrity of data used for analysis.
- Develop analytical solutions by using and