Data Scientist

The Aerospace Corporation

El Segundo (CA)

On-site

USD 95,000 - 143,000

Full time

5 days ago
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Benefits offered by this job

Health care and wellness plans
Paid holidays, sick time, vacation
401(k) plan with company match
Relocation assistance
Flexible work options

Job summary

The Aerospace Corporation is seeking a Machine Learning Engineer to join the Data Science and AI Department, working on AI-enabled tools for space enterprise. The role requires building ML models, pipelines, and AI solutions for national security space and civil customers, with on-site work at El Segundo, CA, Chantilly, VA, or Colorado Springs, CO.

Ideal candidates bring 2+ years in data science or ML, strong Python skills, and the ability to obtain a security clearance.

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or related STEM field(s)
  • 2 years of industry experience in Data Science or Machine Learning
  • Proficiency in programming languages such as Python
  • Development of machine learning models and inference pipelines
  • Software development skills including familiarity with machine learning libraries in Python
  • Familiarity with Unix/Linux operating systems
  • Ability to obtain and maintain a security clearance; U.S. citizenship required

Responsibilities

  • Developing and executing machine learning and data science experiments (NLP, CV, time-series, RL)
  • Evaluating technologies and data science models for scalable, mission-critical applications
  • Collaborating with teams to deliver features and products
  • Presenting written and verbal results to customer stakeholders
  • Fostering an environment of learning and progress within the team

Skills

Python
Machine learning
Data science
Communication
Teamwork
Unix/Linux
Security clearance

Education

Bachelor's degree in Data Science/CS/Engineering/Physics/Math

Tools

Python libraries

Job description

The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space- delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.

Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community, DoD, and civilian customers.

The Data Science and Artificial Intelligence Department (DSAID) seeks a creative and enthusiastic Machine Learning Engineer to join a diverse team of engineers, data scientists, and programmers with a passion for researching, prototyping, understanding, and building AI and data enabled tools across the space enterprise. We are a growing, innovative, and collaborative department that makes meaningful contributions to National Security Space (AF, NRO, etc.), and Civil and Commercial customers (NASA, MDA, DHS, etc.).

The selected candidate will be required to work full-time on-site at our facility in El Segundo, CA , Chantilly, VA or Colorado Springs, CO.

What Corporate Skills You’ll Bring
  • Strong written and oral communication skills
  • Must work well in a team environment
  • Possess organizational, time management and project management skills
  • Demonstrate flexibility and ability to adapt to changing organizational need
  • Interpersonal skills to coordinate efforts and work with other internal and external organizations
What You’ll Be Doing

DSAID's customers range from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc.) and commercial (commercial space, autonomous vehicles, etc.). DSAID applies data science and AI knowledge across the space enterprise, to Aerospace enterprise capabilities, and towards corporate workforce development and strategic focus areas. Data Science specialists work on teams spanning various disciplines, experience levels, and organizational boundaries.

Primary functions include:

  • Developing and executing machine learning and data science experiments, in the domains of natural language processing, computer vision, time series analysis, reinforcement learning, etc.
  • Evaluating technologies and data science models for use in scalable and resilient mission-critical applications
  • Collaborating with teams of various sizes to deliver features and products
  • Presenting written and verbal results to customer stakeholders.
  • Reinforcing an environment of learning and progress with team members and others
  • Duties, responsibilities and activities may change, or new ones may be assigned as needed
What You Need to be Successful

Minimum Requirements:

  • Bachelor's degree in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or related STEM field(s)
  • 2 years of industry experience in Data Science or Machine Learning
  • Proficiency in programming languages such as Python
  • Development of machine learning models and inference pipelines
  • Software development skills including familiarity with machine learning and deep learning libraries in Python
  • Demonstrated experience with and understanding of machine learning and artificial intelligence, software engineering, and statistics
  • Familiarity with Unix/Linux operating systems
  • This position requires ability to obtain and maintain a security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance
How You Can Stand Out
  • Active security clearance
  • Experience with cloud native application development or cloud infrastructure
  • Development of data platforms and database deployment
  • Experience with data security and governance technologies
  • Deploying machine learning models for inference at scale

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. The grade-based pay range for this job is listed below. Individual salaries within that range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills. (Min - Max) $95,200.00 - $142,800.00 Pay Basis: Annual

Leadership Competencies

Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate leadership. At Aerospace, our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders, we want individuals who:

  • Operate Strategically
  • Lead Change
  • Engage with Impact
  • Foster Innovation
  • Deliver Results
Ways We Reward Our Employees

During your interview process, our team will provide details of our industry-leading benefits. Benefits vary and are applicable based on Job Type. A few highlights include:

  • Comprehensive health care and wellness plans
  • Paid holidays, sick time, and vacation
  • Standard and alternate work schedules, including telework options
  • 401(k) Plan - Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
  • Flexible spending accounts
  • Variable pay program for exceptional contributions
  • Relocation assistance

    We are all unique, from various backgrounds and all walks of life, yet one thing bonds all of us to each other- the belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation.

    Equal Opportunity Commitment

    The Aerospace Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you're an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at peoplemangmnt.mailbox@aero.org . You can also review Know Your Rights: Workplace Discrimination is Illegal.

    Right Place

    The Aerospace Corporation has over 26 locations nationwide, which allows us to build a workforce that will nurture the best ideas, and generate the most novel innovations and solutions to our nation's toughest space enterprise challenges.

    Right Path

    Aerospace covers all stages of the space lifecycle, from concept to operations. We believe our people are our most valuable resource and that’s why we propel our employees forward in their careers through ongoing education, training, and professional development.

    Right Purpose

    We can all serve a mission much greater than ourselves, and at Aerospace that is exactly what we do. By hiring the industry's most preeminent scientists and engineers, Aerospace advances emerging technologies that protect some of the most critical missions on Earth and above it.

    Return to the Aerospace Careers site.

    Aerospace employees working in organizations with technical responsibilities are required to obtain a Security Clearance. U.S. citizenship is required for those positions.

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