Data Science, Lead Associate

Peraton

20h • Hybrid

About The Position

Peraton is seeking a mid-level Data Science Professional to provide remote support for our NAVAIR customer in Lexington Park/Patuxent River, MD. This role involves working within the Advanced Analytics and Innovation (AA&I) Branch, primarily developing highly sophisticated analytics products for various Program Management Air (PMA) offices within the Department of Navy, among other Navy customers. These products will leverage programming languages such as Python and SQL, and business intelligence (BI) tools such as Tableau, Qlik, and Power BI to analyze and visualize Navy reliability, maintenance, supply, and financial data in an actionable format. This is a full-time position, with fully remote, hybrid, and in-person options available. The Data Scientist will apply data and computer science techniques to assist in analyzing scientific and business operations problems across the Air Systems Group, which includes a diversified customer base across the Naval Air Warfare Center Aircraft Division (NAWCAD). The work centers on applying rigorous data science techniques to transform complex information into actionable intelligence, leveraging proficiency in Python, SQL, and advanced modeling to prepare and analyze large datasets and build predictive models. A key part of the role is bringing data to life through compelling, interactive dashboards using tools like Tableau, Power BI, and Qlik. The role requires deep competence in data science, not prior subject matter expertise in Air Systems Group.

Requirements

• Minimum requirements are a BS degree in data science/mathematics/Statistics (desired), Engineering/Computer Science (acceptable) and 5 years of related data analysis experience; 3 years with MS/MA.
• Proficiency in BI tools such as Tableau, Qlik, or Power BI, with a minimum of 3 years’ experience.
• Proficiency in Python and SQL, with a minimum of 3 years’ experience.
• Familiarity with advanced mathematical, statistical, or analytics techniques.
• Secret clearance or the ability to obtain.
• Must be a U.S. citizen.

Nice To Haves

• Familiarity with aviation data, flight records, and maintenance and reliability data.
• Advanced Tableau data visualization experience.
• Experience in data processing with Tableau Prep.
• Strong analytical and critical thinking skills.
• Strong oral and written communication skills; including presentation skills and being able to defend a technical position and/or recommendation.
• Self-directed team player with proven ability to deliver tasks timely and efficiently, and a demonstrated ability to interact professionally with all levels of management.
• High level problem solving and interpersonal skills.
• Flexible and able to work in a dynamic environment.
• Experience in the aerospace, and/or defense industries.

Responsibilities

• Master the data lifecycle by gathering, cleaning, and preparing complex datasets, including joining disparate tables and meticulously constructing analysis-ready data sources.
• Apply deep expertise in Python and SQL to analyze intricate datasets, develop novel metrics and key performance indicators, and design comprehensive, data-driven solutions.
• Analyze historical data and trends using advanced statistical methods to build predictive models that forecast future outcomes, and continuously refine and optimize model performance.
• Design and build compelling, interactive dashboards in Tableau, Power BI, and Qlik, performing analysis both in the back-end data source and within the visualization tools.
• Be a hands-on practitioner at the intersection of data, analytics, and visualization, applying rigorous data science techniques to transform complex information into actionable intelligence.
• Leverage proficiency in Python, SQL, and advanced modeling to prepare and analyze large datasets and build predictive models that guide strategy.
• Bring data to life through compelling, interactive dashboards using tools like Tableau, Power BI, and Qlik.
• Apply expertise in Python, SQL, and statistics across the entire analytical lifecycle—from data collection and processing to the final presentation of statistical insights.
• Provide critical input on project planning and the development of analysis tools.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees