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. 

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.

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