Data Scientist - Onsite

USDC•Pennington, NJ

7d•Onsite

About The Position

Genesis10 is seeking a Data Scientist for a 12+ month contract opportunity with a global financial institution. The role is onsite in Charlotte, North Carolina; Pennington, New Jersey; or Plano, Texas. The Data Scientist will design, develop, evaluate, and monitor AI/ML models supporting enterprise Copilot and Copilot Studio solutions. The role also creates and maintains thorough model documentation to support governance, validation, approval, and audit requirements. The ideal candidate brings hands-on data science and coding expertise, along with strong analytical, documentation, and operational discipline, to deliver scalable, reliable, and compliant AI solutions. The position involves establishing AI and cybersecurity controls, enterprise-ready monitoring and evaluation practices, governance processes, and production guardrails. The Data Scientist collaborates with platform, security, engineering, governance, risk, and compliance teams to support secure, resilient, and responsible AI deployments.

Requirements

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
7+ years of experience in data science, machine learning, or applied AI.
Strong expertise in machine learning and statistical modeling.
Strong programming skills in Python and/or R, with experience using libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Ability to write production-quality code, reusable components, and scalable data pipelines.
Experience working with generative AI, large language models, AI assistants, or enterprise AI solutions.
Strong experience with data preparation, transformation, feature engineering, and analysis.
Strong SQL skills, including complex querying and performance tuning.
Proven ability to integrate models into business applications and workflows using APIs.
Experience with model documentation and model approval processes in regulated or controlled environments.
Experience with MLOps and model lifecycle management.
Familiarity with CI/CD pipelines, testing frameworks, and automation practices for AI solutions.
Experience working with Azure-based AI and data services or comparable enterprise cloud platforms.
Familiarity with responsible AI principles, model explainability, bias and fairness considerations, and secure data handling practices.

Responsibilities

Define and implement AI and cybersecurity controls for Copilot and Copilot Studio solutions.
Design AI/ML solutions using enterprise scalability and security-by-design principles.
Establish monitoring frameworks to track model and solution performance.
Develop evaluation and testing approaches for Copilot and Copilot Studio use cases.
Create and maintain scalable governance processes for AI solutions.
Implement controls for data access, grounding sources, prompt usage, and user permissions.
Partner with platform, security, and engineering teams to define guardrails for production AI deployments.
Support the design of reusable prompt, orchestration, and agent patterns in Copilot Studio.
Ensure solutions are designed for operational resilience.
Define standards for lifecycle management of Copilot and Copilot Studio assets.
Collaborate with governance, risk, and compliance teams to ensure model and agent documentation supports enterprise requirements.
Identify and mitigate risks related to model degradation and non-compliant use of enterprise data sources.
Drive adoption of best practices for responsible AI.