Full Stack Data Scientist

Kforce has a client in Austin, TX that is seeking a Full Stack Data Scientist to support a leading enterprise client in expanding their advanced analytics and AI capabilities. Summary: This role requires a hands-on, execution-focused professional who can independently deliver end-to-end data science solutions across multiple business initiatives. The ideal candidate will operate across the full data lifecycle-from data ingestion and modeling to visualization and executive storytelling-while also contributing to emerging AI and Generative AI (GenAI) initiatives, including projects involving AI-assisted development (GitHub Copilot) and Agentic AI systems. Responsibilities: Execute end-to-end data science workflows, including:

• Data sourcing, extraction, and preparation across multiple enterprise systems
• Model development, evaluation, and interpretation
• Data visualization and dashboard creation
• Presentation of insights to leadership and executive stakeholders

Support both:

• Ongoing project-based data initiatives
• Ad hoc, executive-driven analytical requests requiring deep-dive analysis
• Develop scalable data solutions that drive business decision-making

Contribute to AI and GenAI product development efforts, including:

• Building and supporting GenAI-enabled solutions

• Leveraging AI-assisted coding tools (e.g., GitHub Copilot)

• Participating in workflows involving Agentic AI/autonomous systems

• Collaborate across technical and business teams to translate requirements into actionable data insights

• Programming: Advanced proficiency in Python

• Data Querying: Strong SQL experience across large, complex datasets

• Data Visualization: Experience with Power BI, Qlik, or similar BI tools

Data Science Expertise:

• Data modeling, statistical analysis, and machine learning
• Data preparation and transformation techniques
• Model interpretation and communication

• Experience using AI-assisted development tools (e.g., GitHub Copilot)
• Exposure to or hands-on experience with Generative AI (LLMs, prompt design, or related solutions)
• Familiarity with Agentic AI concepts or automated AI-driven workflows

Data Environment Experience:

• Experience working across enterprise data platforms such as SQL Server, Databricks, or similar
• Ability to navigate and work with multiple, distributed data sources

Professional Skills:

• Strong communication and data storytelling abilities
• Ability to work independently in fast-paced, ambiguous environments
• Experience presenting insights to business and executive stakeholders

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

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