Daily responsibilities will be focused on advancing the machine learning platform and collaborating with partners.
This person will be responsible for providing support to advance artificial intelligence and data analytics effort by building machine learning models, support their implementation and deployment through collaborations with stake holders. The position will be based in Thousand Oaks, CA and he/she will be part of Digital Integration & Predictive Technologies (DIPT) organization in Process Development. Support will include :
Build a wide range of data and analytics solutions, from descriptive to prescriptive using advance statistical and machine learning models
Leverage large datasets to conduct end-to end analytics that include data gathering and requirements specifications, processing, analytics, ongoing deliverables, and presentations
Interact cross-functionally with a wide variety of people and teams. Work closely with subject matter experts to identify opportunities and deliver value by developing novel, practical, scientific data-driven solutions to meet business needs
Bachelor’s degree & 2 years of directly related experience
Associate’s degree & 6 years of directly related experience
High school diploma / GED & 8 years of directly related experience
M.Sc., in Engineering or Computer Sciences
Expertise in comprehensive set of data analytics and modeling methods such as unsupervised (i.e. PCA, K-Means), supervised (i.e. PLS, tree-based algorithms and deep learning), approaches and in their application to biotechnology processes
Expertise working with large data sets, data mining and machine learning tools
Experience in various artificial intelligence applications
Expertise in Python and SQL Programming Languages
Understanding of biopharmaceuticals process, related unit operations including analytical methods and process controls.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Independent, self-motivated, organized, able to multi-task in project environments, and skilled in communication, facilitation, and collaboration.
Team player, prepared to work in and embrace a team-based culture that relies on collaboration for effective decision-making
Familiarity with DevOps and good software practices (i.e. version control, continuous integration, test driven development)