Blu Omega
AI

Data Scientist

Blu Omega · El Segundo, CA

Actively hiring Posted 3 months ago

Role overview

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.

What you'll work on

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

  • 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.

What we're looking for

  • 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.

Tags & focus areas

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Fulltime Ai Machine Learning Data Science Mlops Pytorch Tensorflow Data Engineer