Description

FlightAware has built the world’s leading aviation software platform, processing over 180 million incoming messages an hour from over 30,000 feeds—over 150 gigabytes a day and growing—to provide the best, most complete, and most accurate real-time flight tracking services in the industry. We are proud to have built a wide variety of successful products on this foundation that have become central to the aviation industry at large.

Regardless of role, we expect excellent interpersonal and communication skills across all hires at FlightAware. We look for candidates who will thrive here, meaning they demonstrate clear communication, embrace open feedback, trust their colleagues, and are driven to execute, deliver, and complete projects independently and efficiently.

FlightAware's Predict crew builds state-of-the-art machine learning systems that leverage years of historical data and hundreds of millions of examples in order to build models for computing runway landing times, gate arrival times, and more. The results of these models power the FlightAware Foresight product suite, which streams live predictive aviation data to major customers in industry.

As a Data Scientist on our Predict crew, you will play a critical role in building our Machine Learning-based Foresight products, but performing A/B testing of ML models, evaluating our existing models and providing insight into their performance. Through your work, you’ll be improving the operational efficiency of the world’s largest airlines and airports.

This is a full-time role. Our team is headquartered in Houston, Texas, but we work as a distributed team and accept remote applicants.

Requirements

• At least six years Data Science/Statistical Science experience (including education)
• Strong knowledge of Python and/or R.

Experience in multiple of the following areas:

• A/B testing, experimental design, causal inference, functional data analysis, etc.
• General practical knowledge of statistics, data science, classic machine learning, and deep learning.
• Preferred: Experience with Kubernetes, Spark, and AWS.
• Nice to have: You are a private pilot or are you looking to pursue your private pilot license.

Responsibilities

• Design a framework to A/B test our Machine Learning models.
• Explore the performance of ML models to provide guidance on where we can improve.
• Design QC procedures for training and evaluation data and explore outliers in complex data.
• Participate in our internal research projects, pushing the envelope of what’s possible in the aviation ML space.
• Develop your general software engineering skills in an environment that encourages constant learning and innovation.

Work Location

• Remote (work from home)
• Applicants must live in the United States
• Must have current work authorization for any employer in the US and not require sponsorship now or in the future

Education

• A master’s, or doctoral degree in statistics, mathematics, computer science, software engineering, or equivalent experience.

Compensation

• Salary varies based on experience and background
• Matching 401(k)
• Company-paid employee medical, dental and basic life/AD&D insurance