
Data Scientist, Engineering Analytics
The Data Scientist, Engineering Analytics will help advance the engineering and maintenance organization through the application of innovative and robust analytical solutions aimed at deriving insights from complex aircraft mechanical performance data. Develop machine learning models and advanced analytics solutions for complex business problems in the engineering, predictive maintenance, and aircraft reliability space. Learn appropriate selection, utilization, and interpretation of advanced analytics methodologies. Learn new techniques within cloud-based platforms. Seek further knowledge on key developments within data science and related fields.
Proficiency in working with relational databases (SQL)
Consistently makes safety and security, of self and others, the priority
1+ years of work experience in advanced analytics, data science, or business intelligence
Proficiency in Machine Learning techniques (Python, SciKit Learn, or other machine learning platform); experience with AWS ML stack preferred
Python
SciKit Learn
Advanced analytics
Predictive Maintenance
Time Management Skills
Good project management
Detail Oriented
Prioritizing skills
Adaptability
Problem-Solving
Verbal and Written Communication
Highly-Motivated Self-Starter
Multi tasker
Driven for excellence
According to JobzMall, the average salary range for a Data Scientist, Engineering Analytics in 1030 Delta Blvd, Atlanta, GA 30354, USA is $88,004 - $105,674. This salary range can vary widely depending on the experience of the individual and the industry they are working in.
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Delta Air Lines serves nearly 180 million customers each year. With an industry-leading global network, Delta and the Delta Connection carriers offer service to 330 destinations in 61 countries on six continents. Headquartered in Atlanta, Delta employs nearly 80,000 employees worldwide and operates a mainline fleet of more than 800 aircraft.

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