Data Scientist

Why should you join our team? American AgCredit offers a unique

opportunity:

to be a part of a national financial system supporting those who feed, clothe and fuel the world. We are a growing organization embracing collaboration and innovation while delivering transformative solutions. American AgCredit provides a cultivating environment where you truly make a difference for our customers and teams.

Benefits:

offered by American AgCredit: 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 Position will be posted until filled.

BASIC FUNCTION: The Data Scientist at American AgCredit is an integral part of the Data Science team within the Treasury and Analytics group, which is a department of the Finance Organization. This role focuses on driving innovation and solving complex problems creatively, directly enhancing the lives of farmers and ranchers by supporting their financial needs and helping them succeed and grow.

Through these efforts, the Data Scientist supports American AgCredit’s mission of securing the nation's food supply by providing innovative financial solutions within the agricultural community. The Data Scientist is responsible for developing, implementing and monitoring advanced statistical and machine learning models to support various business functions.

This includes creating / maintaining scorecard models, and or optimizing auto-decisioning strategies. The role may also involve developing customer segmentation, lead scoring, churn prediction, and or recommendation models that drive go-to-market strategies. The Data Scientist analyzes specific business opportunities and risks, using quantitative methods to solve complex tasks that improve business performance.

In collaboration with a cross-functional team of data analytics and IT professionals, the Data Scientist will deliver AI-powered products that enhance data-driven decision-making, increase productivity, and automate repetitive tasks. As part of this, the role requires leveraging Generative AI to enhance NLP and conversational AI capabilities, building scalable digital assistant solutions.

Overall, the Data Scientist plays a pivotal role in empowering the Data and Analytics community, fostering data literacy and self-service capabilities, and driving the organization to foster a culture of evidence-based decision-making. ESSENTIAL DUTIES: 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.

THE IDEAL CANDIDATE IS: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative Problem Solver and Critical Thinker. You thrive on bringing definition to big, undefined problems.

Your inquisitive nature drives you to ask “why” and push hard to find answers. You understand that critical thinking is essential in problem formulation, enabling you to dissect complex issues, understand business needs and develop targeted solutions. You’re not afraid to share a new idea. Technical.

You’re comfortable with open-source languages and are passionate

about:

• developing further.

You have hands-on

experience:

• developing data science solutions using open-source tools and cloud computing platforms.

Statistically minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have

experience:

with clustering, classification, regression and time series. Communication

Skills:

Speaks both “business” and “data science”, translating complex analytics into clear, actionable insights to business stakeholders. LEVELS OF SUPERVISION EXERCISED AND RECEIVED: Generally exercises minimal supervision. Makes independent decisions; works under general direction of the Director of Data Science.

TYPICAL:

EDUCATION:

AND

EXPERIENCE:

Data Scientist Required: 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. Data Scientist Preferred: Full ownership of an Agile model development process and relationship with the business customer.

Examples include understanding the business problem, framing the problem, performing data exploratory analysis and visualization, methodology selection, model testing and validation, implementation, business user training and support, and model monitoring. Translating results into meaningful solutions to enhance data-driven decision making.

A master’s degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics).

Experience:

with LLMs, RAG, Agentic AI. Working knowledge of lending principles and practices, as well as ability to interpret policy, programs and regulations. FULL-TIME REMOTE: These roles and job functions can be done remotely, while maintaining our strong commitment to customer service and our business goals.

Employees are welcome to come to an office to work if needed, and some travel for team meetings will be required. PAY RANGE: Minimum $88,740.69 - Max $150,859.17 Annual This range is reflective of the national salary average for this position and will be adjusted using geographic variance for physical location of the hired candidate.

American AgCredit may compensate outside of the salary range for bona fide reasons not related to membership in a protected class. Reflected is the national base pay range and title offered for this job at the current level.

Compensation:

, title, and job level may be adjusted based on candidate

qualifications:

including but not limited to achievements,

skills:

,

experience:

, or work location. Salary offered, within the applicable range, is one component of the total rewards package offered to candidates. #LI-REMOTE All hiring is contingent on eligibility to work in the United States. We are unable to sponsor or transfer visas for applicants. American AgCredit provides equal

opportunity:

in employment to all employees and applicants. We celebrate diversity and do not discriminate on the basis of race, color, creed, religion, national origin, ancestry, alienage or citizenship status, age, sex, sexual orientation, gender identity, gender expression, marital status, genetic information, medical condition, physical or mental disability, pregnancy, childbirth or related medical condition, military service or veteran status, victims of domestic violence, or any other characteristics protected by applicable federal, state, or local laws.

American AgCredit prohibits harassment of any individuals on any of the bases listed above. If you need assistance or an accommodation due to a disability, you may contact us at jobs@agloan.com. Our mission is simple… Be the best lender to Agriculture. In order to deliver on that statement, we work hard to build talented teams across all areas of our organization.

With offices throughout California, Colorado, Hawaii, Kansas, Nevada and Oklahoma, we have the stability of over 100 years serving farmers, ranchers and agriculture businesses. To learn more

about:

our medical, dental, vision, and 401k offerings, click here.