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Aireon deployed the worlds first global space-based air traffic surveillance system, providing real-time aircraft monitoring capabilities around the world, including over the poles, over the oceans and in remote areas.
Aireon data enables safer, more efficient and more environmentally friendly aviation travel, resulting in significant CO2 emission reductions. More than 20 Air Navigation Service Providers representing more than 40 countries including NAV CANADA, NATS (UK), Air Traffic and Navigation Services (South Africa), Airports Authority of India (AAI), and ASECNA (Africa) -- rely on Aireon data to navigate aircraft in their airspaces.
We are committed to offering an employment experience and benefits package that enables you and your family to grow with us and to share in our success.
Position Summary, Job Requirements & Responsibilities:The Data Scientist role will have a significant role in the design and development of Aireons Machine Learning applications and products as well as supporting data analysis of the performance of the Aireon space-based Automatic Dependent Surveillance-Broadcast (ADS-B) air traffic surveillance system. Aireon is currently exploring new and exciting opportunities to leverage Machine Learning and Artificial Intelligence; this role will help establish the foundation of that work. In this role you'll be reporting to the Director of Modeling & Analysis / Data Science. As such you will be primarily involved with: Developing Machine Learning Models, Data Analysis, Algorithm Development, & Prototyping Solutions. In addition to these primary tasks the Data Scientist may also act as a subject matter expert to support activities such as requirements development, system tests, software development, and performing trade studies. In this role, you will be encouraged to innovate and ensure that key technical milestones are met for the broader engineering team.
The Data Scientist will primarily work on development of proof-of-concepts and prototypes for Aireons new products to deliver high-quality solutions to challenges facing the aviation community leveraging Aireons global Space-Based ADS-B data. This role will work closely with members of Aireons Integrated Product Team (IPT) and Sales teams along with Aireons worldwide customer base to ensure these solutions meet customer requirements and expected levels of performance. There will also be collaboration in the technical activities of Aireon development partners, including Iridium (the payload procurement manager, payload development and integration technical manager, the Hosted Payload Operations Center (HPOC) developer and operator, and the host satellite services provider) and Harris (the payload supplier, the systems engineering contractor, the Aireon Processing and Distribution (APD) system provider and operator).
Effective communication and adeptness at working with a variety of personalities and skills across multiple organizations, and multiple time zones, and willingness to contribute broadly in a fast-paced, start-up environment will be a key part of this role.
What You'll Do
Required Qualifications
Desired Qualifications
About You
You are a self-starter . Sitting and waiting isnt an option. You take the initiative to make things happen.
You are comfortable in multi-tasking . Managing and juggling priorities across tasks seems to come naturally in your everyday workload. You have a sense on how to balance priorities and communicate clearly when overloaded for assistance/help.
You love solving problems. You enjoy digging into problems and finding the most efficient ways to solve them. You have a passion for understanding issues and logically tackling them.
You are collaborative. You're a team player who puts the interest of the team above your own. You display a positive attitude, are open, and enjoy contributing.
You are a natural leader. No matter where you find yourself, others tend to gather around you, leading to encouragement and mentoring.
Technology is your passion. It doesnt just provide a paycheck; you are genuinely interested in what you do and the impact that it has on others.
1-3-6-12 Month Plan
In the first month well expect you to
At 3 months well expect you to
At 6 months well expect you to
At 12 months well expect you to
About the Team
Aireons Modeling & Analysis team acts as a resource that supports the broader engineering group and other departments at Aireon as subject matter experts on our data and how it is processed. The team currently collaborates on various projects and fully supports a hybrid/remote working environment. The entire team meets to discuss high level objectives once per week but also holds as needed meetings to cover individual projects. Team members are currently located in Northern Virginia as well as full time remote employees in different parts of the country.
Perks and Benefits
Premium medical, dental and vision plan
Life Insurance and AD&D
Short Term and Long Term Disability
Health Savings Account (HSA)
Flexible Spending Accounts (FSA)
Retirement 401K plan with Employer Matching
Education Assistance and Tuition Reimbursement
Paid Time Off, Sick Leave, Floating Holidays
Paid Parental Leave
Company Sponsored Events
Employee Referral Program
Aireon is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identity or status as a protected veteran. EOE of Minorities/Females/Vets/Disability and other protected categories.
Full Time
$115k-141k (estimate)
05/01/2024
05/20/2024
aireon.com
Mclean, VA
100 - 200
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
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Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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