Position : Senior Data Scientist
Location: Arden Hills, Minnesota.
Please review the requirement and share some relevant, qualified profiles for the position.
Key Details:
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.
