Senior Data Scientist

Boeing is the world's largest aerospace company and leading manufacturer of commercial jetliners, defense, space and security systems, and service provider of aftermarket support

We are looking for an accomplished Senior Data Scientist – Machine Learning Expert to support our Boeing Data Analytics organization. The organizational scope supports all Boeing enterprise functions and programs as well as corporate initiatives.

At Boeing, we are already making a difference across the industry using the latest and state of the art artificial intelligence and machine learning techniques to deliver best in class product experience to our commercial and government customers. We are expanding and growing in all areas in the frontiers of the aerospace industry. We already have some of the best minds and talent in this field, and we’re looking for someone with applied experience in Artificial Intelligence and Machine Learning (including Natural Language Processing, Reinforcement Learning, Deep Learning, Conversational

A.I, and Computer Vision) to join our team.

Our data scientists work closely everyday with product managers, researchers, industrial and manufacturing engineers and software engineers to solve complex problems and create next generation solutions for our internal and external customers. The team works in tandem on some of the hardest problems at the intersection of technology and business. We bring new ideas to making future commercial and military airplanes, creating future space and autonomous systems, and making our operations world class.

We also partner and collaborate with multiple universities and research institutions worldwide to keep abreast of advancements in the field.

You must have a passion for continuous learning, teaching and collaborating. You should have well-reasoned opinions on technical matters but recognize other ideas and opinions. Paramount to success in this role is the ability to define, build and deploy artificial intelligence and machine learning solutions. Additionally, working directly with customers and business leaders to scope problems, clearly communicate results, and address any concerns in terms that can be understood by non-technical community of stakeholders.

Position Responsibilities:

• Develop end-to-end artificial intelligence and machine learning solutions including data processing, feature & model development and production deployment with agility and scale.
• Lead and mentor small teams of data scientists in the design, development, and implementation of complex and challenging efforts in advanced analytics and machine learning.
• Partner with the enterprise business functions and collaborate across multiple teams including analytics, product management, and operations to solve problems and identify trends and opportunities.
• Have passion about working with large and complex unstructured and structured data sets.
• Lead and contribute to design, algorithm, and code reviews.
• Able to self-direct and succeed with minimal guidance.
• Strong communication and interpersonal skills. You should be able to work across functions and effectively present, recommend and communicate a position by demonstrating its value and tradeoffs.

This position is hybrid. The selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.

The position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.

Basic Qualifications (Required Skills/Experience):

• 5+ years of experience using Python or R.(Python Preferred)
• 3+ years of experience working in the field of Artificial Intelligence including Machine Learning
• Experience leading technical teams
• 3+ years of experience in SQL

Preferred Qualifications (Desired Skills/Experience):

• Technical Bachelor’s degree or higher in a quantitative field such as computer science, statistics, mathematics, operations research, bioinformatics, economics, computational biology, physics, or chemistry. (Master's…