Develop, implement and monitor various statistical and machine learning models to support various business functions.
Support independent model validation efforts in accordance to the model risk management policy.
Partner with a cross-functional team of data, analytics, and development operations (IT) to deliver AI powered products that can help team members be data-driven, increase their productivity and automate repetitive tasks.
Leverage Generative AI (Gen AI) to produce conversational AI capabilities and build scalable digital assistant solutions.
Leverage a broad stack of technologies, such as, Python and or R, SQL, Alteryx, Power BI, Azure Dev Ops or equivalent and more to reveal the insights hidden within large volumes of numeric and textual data.
Maintain documentation for key processes and model components with a focus on standardization of processes that satisfy model risk management, audit, and regulatory requirements.
Build strong collaborative relationships with business teams at AAC as well as other Farm Credit System entities.
Ensure analytics practices meet applicable regulatory, audit, privacy, and cybersecurity standards; participate in remediation and audit readiness.

Requirements

A bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Computer Science, or a related “STEM” field - Science, Technology, Engineering or Mathematics).
3-7 years of progressively responsible experience in Data Science, Quantitative Modeling, Risk Modeling, Advanced Analytics or Applied Mathematics.
At least 2 years’ experience in Python, or R.
At least 2 years’ experience with Statistics and Machine Learning.
At least 2 years’ experience with SQL.
Expertise in several statistical techniques including regression analysis, decision trees, tree-based models like Random Forest or Gradient Boosting, time series, deep learning, data pipelines and evaluating model performance.
Proficiency with at least one major programing language (Python or R) is required.
Excellent organizational skills and attention to detail.
Excellent written, verbal, persuasive, and interpersonal skills.
A passion for empowering the Data and Analytics community to democratize analytics, foster data literacy and self-service capabilities, and drive towards enhanced Data-Driven Decision Making.

Benefits

Commitment to agriculture and the communities we serve
Family friendly work environment
Investment in employee development
Medical, Dental and Vision coverage
Outstanding 401k – automatic 3% employer contribution, plus match up to 6%
Generous Paid Time Off (Vacation accrued at 21 days annually, Sick Days accrued at 15 days annually, 12 paid holidays, plus 16 hours of volunteer time)
Competitive Incentive Compensation Plan
Disability & Life Insurance
Employee mental, physical, and financial wellness programs
The position is bonus eligible based on association and personal performance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRSQLStatisticsMachine LearningRegression AnalysisDecision TreesRandom ForestGradient BoostingDeep Learning

Soft Skills

Organizational SkillsAttention to DetailWritten CommunicationVerbal CommunicationPersuasive SkillsInterpersonal Skills