Clearance Requirement: Must have an active Secret Clearance to be considered Required Skills: + Must be able to support onsite in-office in Los Angeles (El Segundo) 4-5x a week. + Bachelor's Degree in Computer Science, Engineering, Mathematics, or similar (considerations for substitution of relevant work experience) + 5+ years of relevant experience in analytics, data visualization, and data science (e.g., algorithm development, data analysis, NLP, etc.) + Demonstrated knowledge of advanced data analytics, data visualization and business intelligence principles, and relevant tools (e.g., R, Python Tableau, PowerBI) + Demonstrated experience leading the development of advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to enable key mission outcomes + Strong written and verbal/communication skills with the ability to convey technical concepts to various stakeholders and audiences Preferred Skills: + Master's or other advanced degree in Computer Science, Engineering, Mathematics, Data Science, or a related field. + Extensive experience with project management frameworks and methodologies, as well as innovation and design thinking frameworks. + Strong experience in AI/ML algorithm development + Excellent analytical skills with extensive experience in analyzing data and providing strategic recommendations. + Proficiency in advanced data analytics tools and programming languages such as Python, R, SQL, and experience with AI/ML frameworks like TensorFlow, PyTorch, and Scikit-Learn. + Agile development experience along with related technologies + Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). + Experience with data engineering processes, including ETL, data integration, and data pipeline development. + Knowledge of human centered-design principles and UI/UX best practices for data visualization + Proven ability to design and implement scalable architectures and robust access control mechanisms. + Familiarity with DevOps practices for machine learning (MLOps) and tools like Databricks MLFlow. + Ability to manage multiple projects simultaneously and prioritize tasks effectively. + Proficient problem-solving skills and the ability to think strategically. + Willingness to continuously learn and adapt to new technologies." Day-to-day Responsibilities: The selected candidate will be responsible for driving the analytical efforts and delivering high-quality insights to support our client's strategic objectives. You will be involved in the full spectrum analytic technical support to mission operations: requirements collection and refinement, translating user requirements into technical requirements, conducting exploratory data analysis, model development, selection, and evaluation, identifying insights from analytical products and then communicating those results to a nontechnical audience. You will be part of a dynamic team environment that will support data analysis and visualization, process improvements, business innovation, and workforce modernization. + Establish advanced analysis and data visualization methodologies, models, and tools to derive mission outcomes and impacts + Identify and process raw data, trends, analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools (e.g., Tableau, PowerBI) + Develop AI/ML models, as needed, with attention to model accuracy + Execute data science methods using python or similar libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization while delivering in an Agile environment + Design, deploy, and maintain scalable AI architectures with quality monitoring and access control, ensuring proper documentation and automated deployment. + Lead and mentor junior practitioners in the data analytics workstream, fostering their development by providing guidance, support, and feedback, while ensuring they meet project expectations and contribute to high-quality deliverables. + Provide tailored communications to innovation stakeholders in meetings, demos, and other customer engagements, as well as support analytic innovation, development, and data analytics activities to customers and stakeholders Expected Deliverables: + Collaboration and Requirement Gathering + Business Question Understanding + Translation of Business Understanding + Analytic Tool Identification + Technical Requirements Identification + Performance Metrics Aggregation + Data Set Definition + AI Opportunities Assessment + Exploratory Data Analysis (EDA) + Dashboard or Analytic Models/Tools Development + Product Deployment and Monitoring