Data Analytics / AI Specialist

Role Title: Data Analytics / AI Specialist

Location: El Segundo, CA 90245 Onsite

Duration: Contract

Must have Active Secret Clearance.

Required Skills

Highly prefer an active Secret Clearance to be considered or must be willing and able to receive an interim secret clearance and sponsored by company

Must be able to support onsite in-office in Los Angeles (El Segundo) 5x a week (need to be local to Los Angeles; e.g., Orange County is considered too far)

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 visualziation and statistical progrmaming tools to enterprise data in order to enable key mission outcomes

Demonstrated experience applying AI/ML solutions to real-world problems, including developing Minimum Viable Products (MVPs) for rapid prototyping and deployment.

Deep understanding of AI/ML concepts, algorithms, and frameworks, with the ability to select and implement appropriate models for diverse use cases.

Strong written and verbal/communication skills with the ability to convey technical concepts to various stakeholders and audiences"

Preferred Skills:

HIGHLY preferred to have Palantir experience

Master's or other advanced degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.

Familiarity with the Department of Defense (DoD) AI landscape, including relevant policies, ethical considerations, and security requirements for AI adoption.

Experience managing the lifecycle of AI solutions, including evaluation, integration, deployment, monitoring, and continuous improvement within complex organizational environments.

Ability to assess and recommend AI technologies, platforms, and tools to meet mission objectives and ensure compliance with DoD standards.

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.

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.

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. Lastly, as the team is charged with AI adoption, candidate will be occasionally creating content or teaching other parts of the organization how to use AI or apply AI through specific use cases and MVPs.

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 or AI Tool Identification Technical Requirements Identification

Data Set Definition AI Opportunities Assessment Exploratory Data Analysis (EDA) Dashboard or

Analytic Models/Tools Development