AI Data Scientist
dayforceOmaha (NE)
About the role
Position Summary:
The AI Data Scientist will own the modeling and statistical lifecycle of enterprise AI initiatives. The role will partner 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. The role requires a rigorous quantitative expert who can balance complex statistical analysis with strict financial regulatory standards and drive alignment across business and technology teams.
Key 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
Validate model accuracy rigorously, test for bias, and ensure all outputs meet strict financial compliance standards
Partner with business leaders to understand the nuance of financial data and transform raw inputs into training datasets
Establish KPIs tied to model accuracy, prediction precision, and false-positive reduction
Qualifications:
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 needing constant translation
Strong understanding of financial datasets and the regulatory constraints surrounding automated decision-making
Ability to present complex quantitative findings to non-technical stakeholders
Operator mindset with a focus on execution and analytical outcomes
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.