Data Analytics Specialist-(Onsite)

Clearance Requirement: Must have an active Secret Clearance to be considered

Required Skills:

• Must be able to support onsite inoffice in Los Angeles (El Segundo) 45x a week.
• Bachelors 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:

• Masters 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 ScikitLearn.
• 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 centereddesign 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 problemsolving skills and the ability to think strategically.
• Willingness to continuously learn and adapt to new technologies.

Daytoday Responsibilities: The selected candidate will be responsible for driving the analytical efforts and delivering highquality insights to support our clients 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 highquality 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