Data Scientist
Honeywell
full-time
Posted on:
Location Type: Hybrid
Location: Atlanta • United States
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About the role
- Design, develop and implement data driven solutions for all Honeywell business groups and functions
- Work closely with data scientists and data engineers, application architects to integrate results into operational platforms
Requirements
- Bachelor’s degree in computer science, Engineering, Applied Mathematics or related STEM field
- Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
- Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
- Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark)
- Minimum of 4 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
- Minimum of 4 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
- Minimum of 4 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs
Benefits
- employer subsidized Medical, Dental, Vision, and Life Insurance
- Short-Term and Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- Health Savings Accounts
- EAP
- Educational Assistance
- Parental Leave
- Paid Time Off (for vacation, personal business, sick time, and parental leave)
- 12 Paid Holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningsupervised learningunsupervised learningreinforcement learningdistributed storageSparkdeep learningPyTorchTensorFlow