Data Scientist

Title: Data Scientist Location: Concord, CA ,Minneapolis MN , Irving TX, Phoenix AZ, Charlotte NC (Hybrid, 3 Days Onsite in office, 2 days remote) Duration: 18 months, possibility to extend or convert Note: Only W2 contract /No C2C & CPT/OPT Summary: We’re hiring a Level 4 Data Scientist to lead cutting-edge GenAI and Agentic AI solutions in Commercial Banking. This role focuses on building scalable LLM-based systems, agentic workflows, and evaluation frameworks to drive automation, risk mitigation, and customer experience. Ideal candidates bring strong Python/ML expertise with hands-on experience deploying GenAI solutions in regulated environments. Required Qualifications: • 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: • Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP), Vertex AI, Google ADK, MCP. • Strong background in GenAI, Agentic workflow, machine learning, deep learning, and statistical analysis evidenced by successful deployment at scale • Experience in the financial services industry, Commercial Banking a plus • Familiarity with regulatory and compliance considerations in GenAI/AI model deployment • Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders • Strong full stack data science skills, hands on experience with ADK, MCP, A2A, O2A. LLM evaluation framework, design and develop LLM guardrails, assertions, controls, and performance monitoring Location: • Charlotte, NC • Dallas, TX • Phoenix/Chandler, AZ • San Francisco Bay Area, CA EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”