Lead Data Scientist

4 weeks ago

McLean, United States The MITRE Corporation Full time

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

**Department Summary**:
As part of the Center for Integrated Transportation, the Operational Safety Mitigations Department (P231) identifies emerging risks and develops mitigations in the aviation and surface transportation domains. Comprised of safety experts, software engineers, and data scientists, P231 leverages proprietary and public datasets to promote collaboration among a variety of stakeholders and drive proactive mitigation of safety risks in aviation and surface transportation.

**Roles and Responsibilities**:

- Advance aviation safety by establishing standardized methods for ingesting and fusing various aviation datasets, developing derived analytics, and developing capabilities that enable efficient data-driven analysis by sponsors and stakeholders
- Develop safety analytics and data visualization products that enable data-driven decision making for sponsors involved in safety monitoring and mitigation
- Liaise with other teams across MITRE to enhance the department’s technological capability, and implement the latest advances in data science and machine learning
- Develop innovative data and software products in a collaborative aviation data ecosystem, including within AWS, to enable efficient safety mitigation development
- Regularly engage with sponsors to drive mission impact and cultivate new business opportunities
- Develop efficient and repeatable data pipelines for data transfers, extractions, culling, manipulation, and preparation for input into analyses and machine learning models

**Basic Qualifications**:

- Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related education and work experience.
- Ability to obtain and maintain FAA Suitability within the first 12 months
- Self-starter capable of working in a dynamic environment
- Experience in one of the following: data engineering, statistical modeling, predictive analytics, artificial intelligence or machine learning
- Experience using software languages such as Java, Python, and R
- Experience using common web development frameworks such as Vue and Angular
- Experience building large-scale data processing pipelines
- Experience using AWS tools and tailoring them for effective use in project work
- Demonstrated ability to develop impactful data and software products in a fast-paced environment
- Strong problem-solving skills and willingness to reach out to technical experts
- Excellent technical writing and presentation skills
- Strong motivation to expand knowledge and skills
- Excellent verbal and written communication skills, and the ability to convey complex ideas or analyses in a clear and organized manner
- This position requires a minimum of 50% hybrid on-site

**Preferred Qualifications**:

- FAA - Suitability (preferred)
- Experience in big data processing, analysis, and visualization using aviation or transportation data
- Experience training and deploying machine learning models at scale
- Strong knowledge of aviation operations and safety management
- Critical thinking, including demonstrated ability to understand a complex engineering problem, and follow through with proposing and executing on novel solutions
- Strong interpersonal skills and significant experience working with multi-disciplinary teams

Suitability - FAA

None

**Work Location Type**:
Hybrid

MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Com

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