Senior Data Scientist / Arden Hills, Minnesota.

Position : Senior Data Scientist
Location: Arden Hills, Minnesota.

Please review the requirement and share some relevant, qualified profiles for the position.

Key Details:

• Position: Senior Data Scientist (Intermediate Level)
• Location: Arden Hills, MN
• Engagement: Contract
• Work Arrangement: Hybrid onsite Tuesday to Thursday
• Candidate Preference: Local candidates only

Important Candidate Requirements

Local candidates only. This position requires working onsite at the Arden Hills office every Tuesday, Wednesday, and

Thursday. The engagement is open to contract candidates. H-1B transfers are not available.

Position Overview

Land O'Lakes is seeking an Intermediate Data Scientist to join its Corporate IT organization in Arden Hills, Minnesota. In

this role, you will partner with business functions and lines of business to apply statistical methods, machine learning, and

industry knowledge to important business decisions that support revenue growth and cost reduction.

With growing autonomy and guidance appropriate to project complexity, the successful candidate will own moderately

complex analytical projects or defined components of larger initiatives. You will develop models and experiments and

translate analytical findings into practical, actionable recommendations. The role emphasizes statistical and machine

learning expertise, business partnership, and industry knowledge rather than custom software development.

Roles & Responsibilities

l Partner with business stakeholders to frame use cases, understand industry drivers, and align on decision needs and

success criteria.

l Explore, profile, cleanse, transform, and integrate enterprise and reputable external data. Verify data quality against source

data, business rules, and industry context while following privacy, security, and sourcing requirements.

l Translate business requirements and domain knowledge into features, experiments, analytical workflows, and model

evaluation criteria.

l Select, develop, compare, and refine statistical and machine learning models using sound statistical reasoning, business

context, and reusable analytical components.

l Build reproducible analytical workflows and evaluate and monitor model accuracy, bias, explainability, and performance drift

against agreed business and technical criteria.

l Use approved AI tools to accelerate coding, testing, and documentation while remaining accountable for method selection,

analytical quality, interpretation, and clear communication.

l Distinguish meaningful patterns from noise and communicate findings, assumptions, trade-offs, uncertainty, and risk, along

with quantified impact and practical business recommendations.

l Support business owners in adopting recommendations and measuring results, while business owners retain accountability

for adoption and operational decisions.

l Partner with product, engineering, platform, and business teams to plan incremental deliverables and support production

integration, automated monitoring, or custom development when needed.

l Participate in analytical, model, and code reviews; document work; and share statistical methods, domain insights, and

reusable practices.

Role Focus

This opportunity is suited to a data science professional who can connect rigorous analytical thinking with business

priorities, communicate model outcomes clearly, and collaborate across business and technical teams. Success means

turning reliable analysis into recommendations that help inform measurable business decisions.

We are looking for candidates with strong experience in statistical analysis, machine learning, model development, data exploration, and translating analytical insights into actionable business recommendations.

Please prioritize relevant local profiles who can meet the onsite requirements and share their updated resumes along with their availability and rate expectations.