AI Data Scientist

Ultimus•Omaha, NE

About The Position

The AI Data Scientist will own the modeling and statistical lifecycle of enterprise AI initiatives. The role partners with business operations to structure financial data, build predictive models, and ensure AI investments deliver high-accuracy insights that reduce risk and improve decision-making. It requires a rigorous quantitative expert who can balance complex statistical analysis with strict financial regulatory standards and drive alignment across business and technology teams.

Requirements

  • 5+ years of experience building and validating predictive models in a corporate or financial environment.
  • Demonstrated ability to apply advanced statistics and machine learning to deliver measurable business outcomes.
  • Deep expertise in statistical analysis, Python, R, and data science frameworks.
  • Ability to work effectively with operational teams to understand data context without constant translation.
  • Strong understanding of financial datasets and regulatory constraints surrounding automated decision-making.
  • Ability to present complex quantitative findings to non-technical stakeholders.
  • An operator mindset focused on execution and analytical outcomes.

Responsibilities

  • Develop and train advanced predictive models for anomaly detection, workflow forecasting, and risk mitigation.
  • Perform deep statistical analysis and data wrangling within large-scale enterprise environments.
  • Rigorously validate model accuracy, test for bias, and ensure outputs meet financial compliance standards.
  • Partner with business leaders to understand financial data and transform raw inputs into training datasets.
  • Establish KPIs tied to model accuracy, prediction precision, and false-positive reduction.
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