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.”

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