Data Scientist I
Honeywell
Innovate to solve the world’s most important challenges
Data Scientist
Key responsibilities –
· Implementation of end-to-end statistical/ML/analytics solutions as per the industry standard process, CRISP-DM
· Understand business requirements and propose suitable solutions
· Explore, devise and implement ML algorithm stack
· Experiment, prototype and finalize specific solution with the best business metrics
· Design and implement architecture/tech stack for data integration, data flow and data storage for ML solutions
· Collaborate with product teams across the organization for deployment and integration of AI solutions in existing products
· Deliver production quality, modular, reproducible code in Python
· Create data visualizations to visualize raw data and analytics insights to demonstrate efficacy of the solution
Requirements –
· Solid understanding of statistics, probability, ML and DL
· A minimum of 8 years of experience in developing and deploying end-to-end AI/ML solutions in production environment
· Exposure to reinforcement learning, supervised and unsupervised algorithms, various architectures of neural networks, time series forecasting, deep learning networks
· Deep expertise in any specific application of ML and DL
· Prior experience in building and deploying ML pipelines from data ingestion, preparation to deploying models in production
· An understanding of various databases relational, NoSQL with prior experience in any DB
· Exposure to ML and DL frameworks like TensorFlow, PyTorch, Caffe, etc
· Familiarity with ML testing and data validation frameworks
· A go-getter attitude with a drive for execution
Good to have –
· Familiarity with IoT communication protocols like MQTT
· Edge AI deployment experience
BE/Btech
To apply for this job please visit careers.honeywell.com.