Intermediate Data Scientist

MANIFEST Technology is seeking an Intermediate Data Scientist to support our client’s Corporate IT team in the Minneapolis area. This hybrid role requires in-office attendance Tuesday through Thursday and focuses on leveraging statistical methods, machine learning, and business insights to support revenue growth and cost reduction initiatives.
Type: Contract/Consulting (W-2)
Duration: 6 months with possible extension
Location: Minneapolis area (Hybrid: Tuesday-Thursday onsite)
Eligibility: U.S. Citizen or Green Card Holder
Key Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
- 3-5 years of experience applying statistics, machine learning, experimentation, or decision science to business challenges.
- Proficiency with Python, R, and SQL.
- Experience with analytics and model lifecycle tools such as Databricks, MLflow, or similar platforms.
- Strong understanding of statistical inference, experimental design, regression, classification, forecasting, model validation, feature selection, and model monitoring.
- Ability to communicate complex findings to business stakeholders and translate analytics into actionable recommendations.
- Industry experience in agriculture or a related commercial environment preferred.
Responsibilities
- Partner with business stakeholders to define analytical use cases, success metrics, and decision-making needs.
- Prepare, validate, and integrate data from enterprise and external sources while ensuring quality and compliance.
- Design analytical workflows, experiments, and model evaluation criteria aligned to business objectives.
- Develop, compare, and refine statistical and machine learning models.
- Monitor model performance, accuracy, bias, explainability, and drift.
- Utilize approved AI tools to accelerate coding, testing, and documentation while maintaining accountability for analytical quality and outcomes.
- Communicate insights, assumptions, risks, and business impac