AI Data Scientist
Indexed 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.
Essential Duties And Responsibilities
Advanced Analytics Solutions:
- 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.
- 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.
- This is an on-site position in Ashburn, VA
- Mainly sedentary; in an office environment.
- May be required to lift up to ten (10) pounds
- Flexible in working extended hours
- Eastern Standard Time work hours, aligned with client workday
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