AI/GenAI Decision Science Lead (Financial Data)

Overview

On Site
$90,000 - $200,000
Contract - W2
Contract - 6 Month(s)

Skills

Generative Artificial Intelligence (AI)
Analytics
Apache Spark
Artificial Intelligence
Big Data
Electronic Commerce
Machine Learning (ML)
GPU
Good Clinical Practice
Google Cloud Platform
Cloud Computing
Microsoft Azure
Optimization

Job Details

Job Description:

  • We re looking for an experienced AI/Decision Science professional to help shape next-generation GenAI solutions for financial operations.
  • This role offers the opportunity to work on complex financial datasets, build scalable GenAI systems, and partner closely with Finance teams to drive strategic planning, efficiency, and data-driven decision-making.

Key Responsibilities:

  • Lead a high-performing team to build and scale advanced GenAI systems.
  • Design and develop data science tools for retail and e-commerce use cases.
  • Le`age LLMs to summarize insights and build large-scale AI applications.
  • Partner cross-functionally with product, engineering, and finance teams to frame problems and deliver production-ready solutions.
  • Foster strong stakeholder relationships to ensure alignment and measurable business outcomes.

What You ll Bring:

  • Experience: 5+ years in analytics, data science, or applied AI.

Must-Have Skills:

  • Strong solution architecture mindset with the ability to apply AI/ML to complex business challenges.
  • Hands-on experience training and deploying large-scale AI models (LLMs, multimodal, reasoning models).
  • Expertise in model optimization: quantization, pruning, distillation, LoRA, PEFT, etc.
  • Solid understanding of the GenAI ecosystem (GPT, LLaMA, Mistral, Claude, Gemini, AWS/Sonnet).
  • Experience with RAG pipelines, AI agent frameworks, and tools such as LangChain, LangGraph, etc.

Great to Have:

  • Big Data processing experience (Spark) and feature engineering.
  • Prior work training ML models using cloud platforms (Google Cloud Platform, Azure).
  • Practical experience designing and training deep learning models on GPU environments.

Education:

  • Master s or PhD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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.