Lead Data Scientist
Share
Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Honeywell Connected Enterprise (HCE) is a significant business segment of Honeywell International Inc. focusing on providing innovative software solutions that enhance operational efficiency and drive digital transformation across various industries. HCE 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 Connected Enterprise include: Industrial IoT Solutions Data Analytics Cybersecurity Smart Building Solutions Supply Chain Optimization Sustainability Initiatives and Smart Manufacturing
Were 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 a Lead 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 application architects to integrate results into operational platforms.
Key Responsibilities:
- The Lead Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiency based on data analyses and fosterrelationships with business team members by being proactive displaying a thorough understanding of the business processes.
- You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and also be responsible for defining the data acquisition strategy when required.
- After influencing scope and prioritizing the analytics pipeline you will lead the technical execution of data science projects directing daily work of junior data scientists and will be responsible for the overall success of the includes stakeholder management by presenting regular updates and final results to senior leadership of the customer organization.
- 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 promotingdata science methods and processes across functions
- You will report to the Data Science Leader in Honeywell Connected Enterprise.
Qualifications
MUST HAVE:
- Bachelor degree in computer science Engineering Applied Mathematics or related STEM field
- Minimum of 7 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 7 years of full time Machine Learning experience applied on top of processes systems and hardware in a commercial setup.
- Minimum of 6 years of experience with distributed storage and compute tools (e.g. Spark)
- Minimum of 6 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:
- Masters 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.
The application period for the job is estimated to be 40 days from the job posting date; however this may be shortened or extended depending on business needs and the availability of qualified candidates.
#LI-HYBRID
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About 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 ... View more
