Advanced Data Scientist

Honeywell International Inc.
Atlanta, GA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cyber Security Distributed Data Store Statistical Hypothesis Testing Python (Programming Language) Machine Learning Natural Language Processing Tensorflow Software Systems
+12 more
Reinforcement Learning Google Cloud Pytorch Large Language Models Apache Spark Deep Learning Keras Build Management Information Technology Data Analytics Machine Learning Operations Microservices

Job description

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc., focusing on providing innovative AI and software solutions that enhance operational efficiency and drive digital transformation across various industries. Forge is the flagship software product of Honeywell. Forge and AI team, as the AI center of excellence, leverages advanced technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics to create integrated solutions that improve productivity, safety, and sustainability.

Key functions and offerings of Honeywell Forge and AI team include: Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain Optimization, Sustainability Initiatives, and Smart Manufacturing

We’re looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.

As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for designing, developing, and implementing data driven solutions for all Honeywell business groups and functions. You will work closely with data scientists and data engineers, application architects to integrate results into operational platforms

RESPONSIBILITES

  • The Advance Data Scientist role is expected to work within Honeywell to build and deploy innovative AI/ML models and solutions that generate new business growth and value.
  • You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and be responsible for defining the data acquisition strategy when required.
  • You will also be expected to actively participate in defining and governing our analytics strategy for Honeywell building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions
  • You will report to the Director of Artificial intelligence

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

WE VALUE

  • Master’s degree in computer science, Engineering, Applied Mathematics or related STEM field
  • PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field
  • Experience with MLOPS best practices and implementations
  • Experience with LLM and Natural Language Processing models
  • Experience working with remote and global teams
  • Results driven with a positive can-do attitude, Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

Benefits & conditions

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell (https://benefits.honeywell.com/)

About the company

Honeywell helps organizations solve the world’s most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

1:18 min

Converting existing Keras models to TensorFlow format

Håkan Silfvernagel · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer · WWC 2021

4:41 min

Replacing PyTorch with ONNX runtime for AWS Lambda deployments

Marek Suppa · LIVE

Videos

See all

Related articles

See all