Sr. Data Analyst

Description

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.

Leidos'
Defense Systems
,
Weapons Sensors, Advanced Sensors and Protective Technologies Portfolio is seeking a talented Sr. 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 (M&S) , 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

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.

• Work closely with a team of engineers and scientists to develop analysis scripts, data processing pipelines, 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.
• Assist with design of experiments (DoE) and conducting parametric trade studies.
• Enhance current M&S capabilities to narrow gap between real and synthetic data.
• Conduct exploratory data analysis.

• BS degree and 8 - 12 years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience. May possess a Doctorate in technical domain.
• Intermediate ability in Python with familiarity using statistical and data analysis libraries (Num Py, Sci Py, Pandas, scikit-image, stats models, 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.
• 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.

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