Data Scientist

CACI InternationalFort Meade, MD
$120,800 - $265,800Onsite

About The Position

Are you a curious intrinsically motivated person looking to work in an entrepreneurial IC office? If so, we are seeking an experienced Senior Data Scientist to join our innovative analytics team. The ideal candidate will have a strong background in multi-cloud environments, machine learning, and scalable data solutions, with the ability to design and implement cutting-edge analytics capabilities.

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)

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

Benefits

  • flexible time off benefit
  • robust learning resources
  • competitive compensation
  • benefits and learning and development opportunities
  • comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits
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