Job Opportunities

Description

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

Your greatest work is ahead!

Leidos’ Defense Systems, Weapons Sensors, Advanced Sensors and Protective Technologies Portfolio is seeking a talented Mid-Level Data Analyst to function full-time within the Advanced Sensors and Protective Technologies Portfolio. You will join a diverse team of software developers, engineers, and scientists to help create unique solutions for complex problems. Our team solves important problems that make a difference and support our customers in the current and future defense of our nation; primarily in the areas of modeling & simulation, sensor integration & characterization, data analysis, algorithm development, and testing for electro-optical infrared (EO/IR) systems. Candidate will be expected to execute within the Agile/Scrum framework to develop analysis tools and data products, productively contribute to a team environment, and communicate effectively with management, coworkers, and customers

If this sounds like the kind of environment where you can thrive, keep reading!

Leidos Defense Systems Sector provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world’s toughest security challenges for customers with “can’t fail” missions. To explore and learn more, click here!

Are you ready to make an impact? Share your resume with us today!

Primary Responsibilities.

• ​Work closely with a team of engineers and scientists to develop analysis scripts and data products.
• Assist with data collections to include cleaning and validating data collected from multiple sources.
• Analyze data to identify trends, patterns, and insights that support program objectives.
• Develop data visualizations to support analysis products.
• Collaborate with cross-functional teams to understand data needs and provide input into SW, M&S, and test plan development.
• ​Implement industry standard and custom performance metrics.  
• ​Document analysis methodologies, processes, and findings. 

Basic Qualifications.

• ​Bachelor’s degree from an accredited university in data science, mathematics, computer science, or an equivalent engineering or science degree with relevant analysis-related experience plus 4-8 years of experience in a related field or Master’s degree from an accredited university in data science, mathematics, computer science, or an equivalent engineering or science degree, or an equivalent engineering or science degree with relevant software-related experience plus 2-6 years of experience in a related field. 
• Intermediate ability in Python with familiarity using statistical and data analysis libraries (NumPy, SciPy, Pandas, scikit-image, statsmodels, etc.) and data visualization libraries (matplotlib, seaborn, plotly, etc).
• Experience analyzing large datasets containing mixed data types.
• Proficiency developing data visualization products.
• Knowledge of a variety of ML architectures to include classical ML techniques as well as modern deep learning (DL) architectures for supervised and unsupervised learning.
• Candidate must be a resident of the North Alabama area or willing to relocate to the Huntsville - North Alabama, AL area.
• Candidate must be a U.S. Citizen and possess (and be able to maintain) a Final Secret Clearance or meet the eligibility to obtain (and maintain) a Final Secret Clearance.

Preferred Qualifications.

• Active SECRET clearance or above.
• ​Experience evaluating or developing computer vision algorithms for object detection, recognition, and tracking. 
• Experience with evaluating or developing machine learning solutions.
• Knowledge of statistical analysis techniques for performing exploratory data analysis, comparing distributions of data, and for performing low dimensional embedding.
• Familiarity or interest in EO/IR phenomenology and experience with image processing.  
• Familiarity with C++ programming.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.