Data Analyst

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 (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 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, 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. 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