Job Description

Data Analytics Specialist

Overvie w: Take2 Consulting is seeking a Secret Cleared Data Analytics Specialist to support Space Systems Command (SSC) based in Los Angeles Air Force Base (LAAFB)

Required Skills

• Must have an active Secret Clearance or high
• 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, 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 outcome
• Strong written and verbal/communication skills with the ability to convey technical concepts to various stakeholders and audience

Preferred Skill

• 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 framework
• 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, and SQL, and experience with AI/ML frameworks like TensorFlow, PyTorch, and Scikit-Lea
• Agile development experience along with related technology
• 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 mechanism
• Familiarity with DevOps practices for machine learning (MLOps) and tools like Databricks MLFlow
• Ability to manage multiple projects simultaneously and prioritize tasks effective
• Proficient problem-solving skills and the ability to think strategically
• Willingness to continuously learn and adapt to new technology

Day-to-day Responsibility

• 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 of 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 non-technical 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, and 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

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