Data Scientist

Data Scientist

Moultrie is looking for a Data Scientist to join the growing Data and Analytics Team. This team owns the development of insights from extraction that power decision-making across Moultrie. This role will build the predictive and prescriptive modeling capabilities that sit on top of the foundational data layer to surface actionable insights and recommendations within BI products and downstream systems.

Typical work includes building and maintaining feature stores in Snowflake/dbt, training and validating predictive models against curated datasets, and delivering model outputs as attributes made available in datasets ready for downstream tools. The ideal candidate has hands-on experience with applied predictive modeling in a business context (churn prediction, customer health scores, propensity scoring) and can contribute to the data work required to support it. This role will work closely with the other members of the Data and Analytics team as well as business stakeholders to align work with highest business impact.

Job Responsibilities

• Predictive and Prescriptive Modeling
• Feature Store and Data Engineering

Skills and Qualifications

4+ years of hands-on experience in data science or a role with significant applied modelling. Demonstrated experience building and deploying predictive models in a business context. Strong Python proficiency: Proven experience using libraries (scikit-learn, pandas) to build and maintain predictive models. Experience with classification and regression techniques and the ability to validate model performance using appropriate metrics (precision, recall, AUC, etc.). SQL proficiency: Able to write clean, maintainable code for supporting models in Snowflake with support from data engineers. Experience with Git and standard software development practices: version control, code reviews, branching, and CI/CD basics. Ability to take an ambiguous business problem and work backwards to produce models that support effective solutions by creating a list of requirements and working through sprints to deliver. Strong documentation practices: able to produce and maintain model definitions, lineage documentation, and data dictionaries that enable other developers and business stakeholders. Collaborative working style: comfortable operating at the boundary between data engineering, data science, and business teams.

Preferred Qualifications

Experience in retail, CPG, or consumer hardware. Hands-on experience with a feature store platform. Experience with MLflow or a comparable experiment tracking tool. Familiarity with Snowpark or Snowflake ML Functions. Experience delivery model outputs that can be used in BI tools and other downstream platforms.

Essential Job Function

We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment. We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.