Data Scientist

Blu Omega is seeking a
highly skilled
Data Analytics Specialist to deliver advanced analytical solutions and actionable insights that drive mission success. This role offers the opportunity to work on cutting-edge projects supporting national security objectives, leveraging data science, AI/ML, and visualization tools to transform complex data into strategic outcomes.

In this role, you’ll work on-site, side by side a talented team of professionals, ensuring the workforce training and development of our DOD customer.

**This role requires an active Secret Clearance, at minimum.

Responsibilities:**

• Lead analytical efforts and provide high-quality insights to support strategic objectives.
• Translate user requirements into technical specifications and develop innovative solutions.
• Conduct exploratory data analysis, model development, and evaluation to identify actionable insights.
• Communicate complex technical findings to non-technical audiences in clear, concise language.
• Establish advanced analysis and visualization methodologies using tools like Tableau and Power BI.
• Identify and process raw data, trends, and assessments to aggregate disparate information sources.
• Develop and refine AI/ML models with a focus on accuracy and scalability.
• Apply data science techniques using Python or similar libraries for data cleaning, EDA, statistical analysis, and visualization in an Agile environment.

Qualifications:

• Active Secret Clearance.
• Ability to work onsite in El Segundo, CA five days per week.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience).
• 3+ years of experience in analytics, data visualization, and data science.
• Knowledge of Palantir, dashboarding tools, and process automation (e.g., Power Automate).
• Proficiency in advanced analytics tools and programming languages (Python, R, SQL) and visualization platforms (Tableau, Power BI).
• Demonstrated experience applying AI/ML solutions to real-world problems.
• Strong understanding of AI/ML concepts, algorithms, and frameworks.
• Excellent communication skills for translating technical concepts to diverse audiences.

Nice to Have:

• Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or related field.
• Familiarity with DoD AI landscape, policies, and security requirements.
• Experience managing the lifecycle of AI solutions, including deployment and continuous improvement.
• Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and cloud platforms (AWS, Azure, Google Cloud).
• Experience with data engineering, ETL processes, and big data technologies (Hadoop, Spark).
• Understanding of UI/UX principles for data visualization and human-centered design.
• Familiarity with MLOps tools like Databricks MLFlow and DevOps practices for machine learning.
• Ability to manage multiple projects and prioritize effectively in a fast-paced environment.