Saxon Global is hiring: Senior Business Systems Analyst - ML and Data Science in

Below are some key initiatives under this product: Data Science Workbench for Genentech : Implementation of Advanced Analytical insights and services platform for everyday Commercial AI, systemizing the use of data for exceptional business results and a central solution for the design, deployment, and management of AI applications Natural Language Processing (NLP) Platform: Partnering with external vendor to pilot and deploy in-house built unified NLP platform for training, running, and managing ML models and deploy recommendation applications for field sales force Commercial Data Science (CDS) Sandbox: Pilot and launch web-based, integrated development environment (IDE) that lets you prepare data, build, train, deploy, and monitor your machine in AWS. As a Sr. Business Systems Analyst on the product team, you will: Be a go getter who can wear multiple hats to drive implementation of key data science and ML products initiatives . Have a broad knowledge and leverage the technical capabilities of the internal teams and external technology providers and vendors Collaborate with Product Line Leads, Product Managers, Project Managers/Scrum Masters, Architects, Engineers, Developers, Quality Assurance, and User Experience Designers on scope, solutions, constraints, and risks Analyze/document current and future business and data needs and help translate to the technical teams. Guide and support other Business System Analyst as they develop the detailed requirements (stories) Perform knowledge transfer to training and communication teams and support user deployment activities as needed Produce detailed wireframes and mockups using visualization tools for prototyping Requirements Bachelor's degree in Business, Information Systems or related field; Master's degree in Business or Science is preferred Overall 7+ years of experience as Business Systems Analyst Strong hands-on and leadership experience in deploying a board set of AI/ML technologies Experience and understanding of application development methodology - including Agile and Waterfall approaches, functional requirements, process modeling/re-engineering, use case development, user acceptance testing, organizational change management, and large-scale system implementations Understanding and experience in ML and data science concepts Demonstrated success in handling initiatives of high complexity, high profile, and large-scale programs Demonstrated ability to quickly learn the business in unfamiliar areas Ability to work in an environment of competing and alternating priorities with a constant focus on delivery Excellent communication (written and oral) and presentation skills; solid business acumen; well-honed influencing skills are essential Self-motivated and team-oriented; able to work both autonomously and effectively as part of a geographically dispersed team Experience with Jira, Confluence, and other Agile tools preferred Proven leadership abilities and emotional intelligence