Data Scientist

Innovation Data Scientist (Gen AI, Agent AI, ML)

Location: San Antonio, TX (Onsite)

Duration: 5 months CTH

Need local only

Interview: Interviews will be video then ON SITE for the final round, then offer

Description of Work:

Skytech is seeking an experienced (6-7 years) Innovation Data Scientist to develop and implement cutting-edge Machine Learning (ML), Generative AI, Retrieval-Augmented Generation (RAG), and Agent AI solutions. This contract role involves solving real-world challenges in banking and insurance, including:

Sales automation

Call center analytics

Collections optimization

Cognitive process automation

You'll be part of a team pushing the boundaries of AI to deliver transformative business outcomes.

Basic Qualifications: Minimum knowledge, skills, abilities needed.

Design and deploy scalable ML and Gen AI solutions

Very strong Python development skills including working with multiple libraries such as SciKit Learn, NLTK, Deep Learning and other frameworks such as Vanna.

Develop cognitive agents using RAG and Agentic AI frameworks

Collaborate across teams to solve industry-specific challenges

Build explainable, production-grade models aligned with business goals

Integrate solutions with industry platforms like Salesforce, Snowflake, and UiPath

Strong expertise in Data Engineering, Machine Learning, Generative AI, RAG, and Agent AI

Proficiency with modern AI tools and frameworks: Amazon Bedrock, Hugging Face, Claude, LLaMA, OpenAI, Grok

Hands-on experience with code-gen tools like Cursor, Replit, and working on: Software code/test script generation and Multimodal and cognitive models

Familiarity with ecosystem platforms: AWS, Snowflake, DBT, Salesforce, FICO, UiPath, Genesis

Experience with orchestration and wiring tools: LangGraph, LangChain, etc.

Strong programming and software development skills

Demonstrated innovation mindset: start with the business outcome and work backward

Deep understanding of challenges in banking and insurance industries

Excellent problem-solving, analytical, and communication skills

Prior involvement in full-cycle AI projects or data engineering initiatives

Bachelor's or Master's in Computer Science, Data Science, or a related field

Ability to work independently and collaboratively in a remote team environment

Must be able to obtain and maintain a US Public Trust clearance.

Preferred Qualifications: Candidates with these skills will be given preferential consideration.

Demonstrated experience delivering technology solutions in a fast-paced, deadline driven enterprise environment.

Ability to work independently and collaboratively in a remote team environment

Excellent problem-solving, analytical, and communication skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.