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MillerKnoll · 2 days ago

Data Scientist

Zeeland, MI

Full-time

Onsite

Mid Level

3+ years exp

MillerKnoll is committed to designing for the good of humankind and is seeking an experienced Data Scientist to join their AI & Data Science team. In this role, you will translate business challenges into analytical problems, design and validate models, and work closely with stakeholders and ML Engineers to deliver impactful machine learning solutions.

Design

H1B Sponsor Likely

Responsibilities

Partner with business stakeholders to identify, scope, and prioritize data science opportunities

Translate complex business problems into structured analytical tasks and hypotheses

Design, develop, and evaluate machine learning, forecasting, and statistical models, considering fairness, interpretability, and business impact

Perform exploratory data analysis, feature engineering, and data preprocessing

Rapidly prototype solutions to assess feasibility before scaling

Interpret model outputs and clearly communicate findings, implications, and recommendations to both technical and non-technical audiences

Collaborate closely with the ML Engineer to transition models from experimentation into scalable, production-ready systems

Develop reproducible code, clear documentation, and reusable analytical workflows to support org-wide AI adoption

Stay up to date with advances in data science, AI/ML, and generative AI, bringing innovative approaches to the team

Qualification

Machine LearningPythonStatisticsSQLData VisualizationGenAI ConceptsCommunication SkillsProblem-SolvingAdaptabilityCollaboration Skills

Required

Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative field, with 3+ years of applied experience in data science

Strong foundation in statistics, probability, linear algebra, and optimization

Proficiency with Python and common data science libraries (Pandas, NumPy, Scikit-learn, XGBoost, PyTorch or TensorFlow)

Experience with time series forecasting, regression, classification, clustering, or recommendation systems

Familiarity with GenAI concepts and tools (LLM APIs, embeddings, prompt engineering, evaluation methods)

Strong SQL skills and experience working with large datasets and cloud-based data warehouses (Snowflake, BigQuery, etc.)

Solid understanding of experimental design and model evaluation metrics beyond accuracy

Experience with data visualization and storytelling tools (Plotly, Tableau, Power BI, or Streamlit)

Exposure to MLOps/LLMOps concepts and working in close collaboration with engineering teams

Excellent communication skills with the ability to translate analysis into actionable business recommendations

Strong problem-solving abilities and business acumen

High adaptability to evolving tools, frameworks, and industry practices

Curiosity and continuous learning mindset

Stakeholder empathy and ability to build trust while introducing AI solutions

Strong collaboration skills and comfort working in ambiguous, fast-paced environments

Commitment to clear documentation and knowledge sharing

Company

MillerKnoll

MillerKnoll is a collective of dynamic brands that comes together to design the world we live in.

Founded in 1905

Zeeland, Michigan, USA

10001+ employees

http://www.millerknoll.com/

H1B Sponsorship

MillerKnoll has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (1)

2024 (3)

2023 (4)

2022 (1)