Data Scientist Level 3

CACI • Suitland, MD

5d

About The Position

CACI is seeking a skilled and experienced Data Scientist (Level 3) to join our dynamic team to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in data science, advanced machine learning techniques, and a proven track record of developing and implementing innovative data solutions. This role requires leadership skills to mentor junior data scientists and a deep understanding of cloud computing platforms and AI tools.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• 5+ years of experience in data science, analysis, and modeling.
• Advanced machine learning techniques (deep learning, NLP).
• Ability to lead and mentor junior data scientists.
• Knowledge of cloud computing platforms (AWS, Azure).
• Proven track record of developing and implementing innovative data solutions.
• Good knowledge of AI tools and capabilities, Responsible AI (RAI) policies, and development of metrics, measurements, and evaluation methods for emerging and existing areas of AI.
• TS/SCI Clearance

Nice To Haves

• Certified Analytics Professional (CAP)
• Advanced certifications in specific machine learning domains (Deep Learning, Natural Language Processing)
• AWS Certified Machine Learning

Responsibilities

• Advanced Machine Learning: Apply deep learning and natural language processing (NLP) techniques to develop sophisticated data models and algorithms.
• Leadership and Mentorship: Lead and mentor junior data scientists, providing guidance and support to enhance their skills and capabilities.
• Cloud Computing: Utilize cloud computing platforms (AWS, Azure) to deploy and manage data science projects.
• Innovative Solutions: Develop and implement cutting-edge data solutions that drive business value and improve operational efficiency.
• AI Tools and Capabilities: Leverage AI tools and adhere to Responsible AI (RAI) policies to ensure ethical and responsible use of AI technologies.
• Metrics and Evaluation: Create metrics, measurements, and evaluation methods for both emerging and existing areas of AI to assess performance and impact.
• Collaboration: Work closely with cross-functional teams to understand business needs and translate them into data-driven solutions.

Benefits

• healthcare
• wellness
• financial
• retirement
• family support
• continuing education
• time off benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees