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6 months ago
Honeywell Aerospace
Location: Atlanta
Job type: Permanent
Sector: Manufacturing
Category: Researcher
Sr Data Scientist

Join a team recognized for leadership, innovation and diversity

SR DATA SCIENTIST
Are you a leader in the data science community who is looking to own the application of data science techniques to new, creative product and service offerings?Honeywell Aerospace products, services, and digital environments collect millions of events per day and as a data driven company believe our data has great stories to tell us. As such, we are investing heavily in our data science capabilities and establishing a Data Science & Analytics team, chartered to build our predictive analytics capabilities for condition monitoring, predictive aircraft maintenance, optimize product performance & build recommendation systems for end customers. The system will ingest machine data from various aircraft systems, maintenance, and other operations data including unstructured data, use machine learning and advanced analytics techniques to identify and predict failure patterns and provide recommendations to end customers to avoid unplanned maintenance.As a Senior Data Scientist in the Services & Connectivity organization, you will:- Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget- Lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products- Drive the interaction with Honeywell business partners to define, design, and develop solutions to customer problems using data insights derived from prototyping of ideas- Provide strategic direction to Honeywell business units regarding usage and implementation of data service offerings- Support and mentor data scientists
ADDITIONAL ATTRIBUTES:
- “Big picture” thinking about how to utilize data and create new insights- Business insight to recognize and sell ideas that have the most measurable benefit to our products- Ability to lead a team and to execute projects using an agile approach in a multi-disciplinary, matrixed environment- Experience driving research ideas and projects into new products and services- At ease working in a dynamic and fast-paced environment with several ongoing concurrent projects- Excellent analysis results and present to a broad audience, including senior level managementThis position is eligible for the Student Loan Paydown Benefit

40
Machine learning

40
Scripting

20
Visualization

YOU MUST HAVE
- Master’s degree in computer science, applied mathematics, statistics, software engineering, physics, or related discipline in marketing and analytics
WE VALUE
- PhD in computer science, applied mathematics, statistics, software engineering, physics, or related discipline in marketing and analytics- Experience with moving prototypes to production environment and optimizing models in production environment- Experience in condition monitoring and predictive failures- Aerospace knowledge or experience- Some experience with data science work experience, including a proven high-level of proficiency in applying data techniques to solving customer problems- Some experience in machine learning, predictive analytics, and statistical modeling- Basic experience in programming and scripting languages- Moderate experience in data visualization (e.g. Tableau, Qlik, Ploty)- Experience working with large datasets using Hadoop framework and tools- Ability to communicate and present complex quantitative analyses in clear and precise manner to leadership team

Exempt

Honeywell Aerospace Overview

INCLUDES

* Relocation Provided

* Continued Professional Development

* Some Travel Required

ADDITIONAL INFORMATION

* Job ID: req127693
* Category: Engineering
* Location: ., Atlanta, GA 30308 USA

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, or veteran status.

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