Principal Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Incorporate cutting-edge AI functionalities throughout GDIT's offerings.

• Enhance and assess the effectiveness of AI coding instruments within the team.

• Execute custom-developed and vendor/COTS AI solutions from initial prototype to full production.

• Create and apply AI solutions for automated tracking and reporting of program achievements.

• Design intelligent classification systems and foster proactive knowledge management.

• Deploy GenAI with LLMs and RAG to provide accurate, data-driven answers.

• Establish an agentic framework for managing service tickets, account administration, and intelligent journey orchestration.

• Assist the CMS Hosting, Operations & Maintenance (HOM) program.

• Oversee and guide other AI/ML Data Scientists.

⛳️ Requirements

• Master's Degree in Computer Science, Data Science, Statistics, or a related discipline (or equivalent experience).

• Over 8 years of experience as a data scientist with a strong history of deploying AI/ML production solutions.

• Proficient AI/ML coding skills.

• Capability to independently implement custom and vendor-based AI solutions.

• Experience utilizing AI coding tools.

• Familiarity with generative AI (GenAI), large language models (LLMs), and retrieval augmented generation (RAG).

• Solid understanding of machine learning, statistical analysis, and experimental design with both quantitative and qualitative data.

• Expertise in AI/ML cloud technologies, ideally AWS, including Bedrock, Lambda, and SageMaker.

• Proficient in the Python data science ecosystem: Pandas, NumPy, scikit-learn, PyTorch/TensorFlow.

• Experience with SQL.

• Background in integrating AI solutions with legacy enterprise systems and orchestration platforms.

• Proven experience in establishing and scaling AI/ML programs, creating roadmaps, and enhancing user/tool adoption.

• Knowledge of data engineering, ETL processes, data pipelines, and APIs.

• Excellent communication abilities with a knack for translating technical concepts for stakeholders and leadership.

• Capability to supervise and mentor other AI/ML Data Scientists.

• Ability to obtain a Public Trust clearance; must have resided in the United States for at least three of the last five years and pass a public trust background investigation.

• NACI (T1) public trust requirement.

• No US Citizenship necessary.

🏝️ Benefits

• Options for medical plans, some including Health Savings Accounts.

• Choices for dental plans.

• Vision plan options available.

• 401(k) plan with company matching.

• Flexible work weeks.

• Paid time off encompassing vacation, sick leave, personal time, holidays, paid parental leave, military leave, bereavement, and jury duty leave.

• Typically, 15 days of paid leave per calendar year.

• 10 paid holidays annually.

• Up to 160 hours of paid family leave within a rolling 12-month period for eligible employees.

• Short- and long-term disability benefits.

• Life insurance coverage.

• Accidental death and dismemberment insurance.

• Personal accident insurance.

• Critical illness insurance.

• Business travel and accident insurance.

• AI-driven career tool that identifies career progression and learning opportunities.

• Internal mobility team to support career aspirations.

• Wellness packages available.

• Competitive salary.

• Award-winning culture focused on innovation.

• Military-friendly workplace.