The role will be in one of the different teams in GDI&A (Manufacturing Analytics). 1. Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats. 2. Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python, Dash, PowerBI) would be a definite plus. 3. Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus. 4. Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used. + Data Modeling and Exploratory data analysis. Identify patterns and insights leveraging analytical tools and techniques + Develop machine learning models and implement ML feature delivery as managed services or on device models + Collaborate with data engineers and product designers to develop data and model pipelines + Write production-level code and bring code to production + Engage in code reviews + Design and evaluate approaches for handling large volume of real data streams. + Improve existing machine learning models + Develop prototype for future exploration. + Communicate complex processes to business stakeholders effectively + Work with Corporate safety office and Digital manufacturing systems team to deliver FPS+ initiatives Masters in Data Science or AI/ML or Equivalent courses. 3+ Years of Experience in GCP and AI/ML. Dash and React UI is a preferred skills. Experience with software craftsmanship and agile ceremonies. Desired Skils/Tools: Python, SQL, BQ, JIRA, Git, GenAI. **Requisition ID** : 48419