Data Scientist

Title: Data ScientistLocation: 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 convertNote: Only W2 contract /No C2C & CPT/OPTSummary: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 scienceDesired 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 monitoringLocation:• Charlotte, NC• Dallas, TX• Phoenix/Chandler, AZ• San Francisco Bay Area, CAEEO:“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”