Job description

Verified Job On Employer Career Site Job Summary: Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. The Advanced Data Scientist will lead technical machine learning projects, drive best practices, and mentor junior team members while developing robust analytics solutions to address business problems. Responsibilities: • Responsible for leading technical machine learning projects and provide direction on exploring and implementing methodologies. • Drive machine learning operation best practices across Forge Insight team and Honeywell. • Lead critical machine learning initiatives and drive technical excellence within the organization. • Function as an AI/ML expert and drive Forge Insight team to continue perform as AL Center of Excellence for Honeywell. • Drive requirement for the Forge platform development to ensure it meets the AI/ML specifications and functional need. • Work with Engagement managers to translate business requirements to technical tasks. • Drive collaboration with colleagues across multiple function groups (Data Science, Data Engineering, domain experts) on unique challenges across different business units of Honeywell. • Mentor entry level data scientists, machine learning engineers and data engineers to groom their technical skill for future development. • Lead by example with upskilling as part of the AI/ML upskilling program of HCE. • Develop complicated, scalable and robust analytics solutions to solve business problems. • Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space. • Design and implement solutions to optimize distribute training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks. • Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design quality and monitoring. • Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks. • Lead technical discussion, evaluate, visualize and communicate the AI/ML model results and correlation with business KPI’s. • Work within project planning constraints, communicating any identified project risks and issues to the delivery/project manager and provide inputs to the change control process. • Work closely with the operations team to change, optimize existing Automation and AI/ML processes and help build effective model performance monitoring, alert and notification framework to proactively identify problems/issues. Qualifications: Required: • Qualified applicants must have a Master’s degree or foreign equivalent in Computer Science, Data Science, Engineering, or a related field and 2 years of experience with data science development, deployment in a commercial setup. • Full term of experience must include: Programming Proficiency in Python/R and SQL; Machine Learning: Regression, random forest, Xgboost, neural networks (RNN, GNN etc), MLOps, SVM, hyperparameter tuning, forecasting (arima, LSTM etc.), Optimization, Predictive Analytics, deep learning, Pytorch, tensorflow, keras; Stack proficiency with Azure and Databricks; experience in developing production level codebase leveraging standard practices including but not limited to the use of object oriented programming and version control; excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning. • Telecommuting permitted two times per week. Company: Honeywell is a technology and manufacturing company that produces products for the automation, aviation, and energy transition industries. Founded in 1906, the company is headquartered in Charlotte, North Carolina, USA, with a team of 10001+ employees. The company is currently Public Company. Honeywell has a track record of offering H1B sponsorships.

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