Data Analyst; Mid-Level

Summary

Leidos is a leader in technology solutions, and they are seeking a Mid-Level Data Analyst to join their Advanced Sensors and Protective Technologies Portfolio. The role involves collaborating with engineers and scientists to develop analysis tools and data products, while executing tasks within an Agile/Scrum framework to support defense-related objectives.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement