Data Analyst

Avid Technology ProfessionalsBethesda, MD
16dOnsite

About The Position

Design and implement data science frameworks across multi-cloud environments Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock Automate analytic solutions and build scalable analytics capabilities Collaborate with the Mission team to gather requirements across various teams Assess and implement new technologies and tools to enhance data capabilities Support data webforms (SQL databases) and processes for API connections, including drag-and-drop data functionality Lead complex data science projects from conception to implementation Develop real-time data processing solutions and data solutions at scale Integrate AI/ML with applications and systems Mentor junior data scientists and contribute to the overall growth of the data science team Communicate findings and recommendations to both technical and non-technical stakeholders

Requirements

  • Degree in Computer Science, Statistics, Mathematics, or related field
  • 7+ years of experience in data science or related field, plus additional 3+ years’ experience in a complimentary function
  • Strong programming skills in Python, SCALA, and/or UNIX shell scripting
  • Expertise in machine learning techniques and statistical analysis
  • Proficiency in SQL and NoSQL databases
  • Experience with big data platforms such as Hadoop, Spark, and Kafka
  • Cloud computing expertise across AWS, Azure, and other
  • Experience in designing and implementing real-time data processing solutions
  • Strong understanding of AI/ML applications in systems and software
  • Excellent problem-solving and communication skills
  • Experience with data visualization tools (e.g., Tableau, PowerBI)
  • Must remain on the client site during Program core hours of 0900-1500.

Nice To Haves

  • Experience in IC
  • Familiarity with drag-and-drop data tools and API integrations

Responsibilities

  • Design and implement data science frameworks across multi-cloud environments
  • Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock
  • Automate analytic solutions and build scalable analytics capabilities
  • Collaborate with the Mission team to gather requirements across various teams
  • Assess and implement new technologies and tools to enhance data capabilities
  • Support data webforms (SQL databases) and processes for API connections, including drag-and-drop data functionality
  • Lead complex data science projects from conception to implementation
  • Develop real-time data processing solutions and data solutions at scale
  • Integrate AI/ML with applications and systems
  • Mentor junior data scientists and contribute to the overall growth of the data science team
  • Communicate findings and recommendations to both technical and non-technical stakeholders
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