AI Data Scientist at Unissant in Ashburn, VA, USA

Job description

• We are seeking a AI Data Scientist to join our team and support our federal customer.
• This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and interpersonal skills, with demonstrated expertise in collaborating with cross-functional teams to collect and interpret complex datasets.
• Candidates must have a desire to be part of a data-driven, customer-focused, fast-paced team that loves the mission of improving the citizen's experience and providing excellent service to government customers.

Responsibilities

• Design and implement machine learning models, Gen-AI (LLM) and NLP models, and statistical methods to solve complex business challenges.
• Build scalable solutions for predictive modeling, optimization, and decision support.
• Analyze large and complex data sets to uncover trends, generate actionable insights, and support data-driven strategies.
• Communicate findings effectively to both technical and non-technical audiences.
• Collaborate with cross-functional teams (internally, with partners and with customers) to collect and interpret data.
• Explore and apply cutting-edge AI/ML techniques to enhance analytical capabilities and deliver measurable impact.
• Design and produce compelling data visualizations and interactive dashboards.
• Transform complex findings into intuitive visual reports and dashboards to facilitate understanding for non-technical audiences.
• Stay updated with the latest trends in data visualization and integrate innovative techniques into the workflow.
• Work closely with the distributed teams and stakeholders to ensure the data infrastructure decisions factor the interests and data goals of the company and its partners.
• Advocate for data science and analytics principles/best-practices in design/requirements discussions with customers
• Engage with stakeholders to understand their needs and tailor visualizations accordingly.

Requirements

• Minimum 5+ years of experience in Data Science.
• Working knowledge and understanding of supervised and unsupervised learning algorithms such as regression, classification, clustering, and dimensionality reduction.
• Experience with Large and Small Language models, Vision models, Prompt and Context engineering.
• Experience with advanced techniques like deep learning, reinforcement learning, and natural language processing (NLP).
• Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost).
• Strong foundation in statistical methods, hypothesis testing, and experimental design.
• Proficiency with Data Visualization tools like Tableau, QuickSight, Power BI, QlikView, or D3.js.
• Strong analytical skills with the ability to analyze complex data and produce actionable insights.
• Experience with AWS data and analytics technologies including EMR, Redshift, SageMaker, Comprehend, QuickSight, Glue, and S3
• Proficiency in Python and/or R for data analysis and ML development.
• Proficiency in SQL for data extraction and manipulation.
• Bachelor's degree in Computer Science, Mathematics, Statistics or Information Systems required. Master's degree is preferred
• This federal program requires the candidates to be a United States Citizen.
• Must have a current CBP BI clearance or be eligible to obtain one.
• Excellent communication skills, both written and verbal.
• Solid ability to interface, inspire and motivate at various levels of the organization.
• Ability to convey technical information to non-technical individuals.
• Demonstrated experience communicating effectively across internal and external organizations.

Skills

Required

• Machine learning models
• Gen-AI (LLM) and NLP models
• Statistical methods
• Large and Small Language models
• Vision models
• Prompt and Context engineering
• Deep learning
• Reinforcement learning
• Natural language processing (NLP)
• Python and/or R
• SQL