Why join us?

Our purpose is to design for the good of humankind. It’s the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone.

About The Role

We’re looking for an experienced and adaptable Data Scientist to join our growing AI & Data Science team. You’ll be part of a small, highly technical group focused on delivering impactful machine learning, forecasting, and generative AI solutions.

In this role, you’ll work closely with stakeholders to translate business challenges into well-defined analytical problems, design and validate models, and communicate results in clear, actionable terms. You’ll collaborate extensively with our ML Engineer to transition solutions from experimentation to production, ensuring models are both effective and robust in real-world environments. You’ll be expected to quickly prototype and iterate on solutions, adapt to new tools and approaches, and share knowledge with the broader organization. This is a hands-on role with real impact and room to innovate.

Key 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.

Required Technical Skills

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.

Soft Skills & Qualities

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.

Who We Hire?

Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We’re committed to equal opportunity employment, including veterans and people with disabilities.

This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.

MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_help@millerknoll.com.

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