Data Scientist
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Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Why join us
Our purpose is to design for the good of humankind. Its 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
Were looking for an experienced and adaptable Data Scientist to join our growing AI & Data Science team. Youll be part of a small highly technical group focused on delivering impactful machine learning forecasting and generative AI solutions.
In this role youll work closely with stakeholders to translate business challenges into well-defined analytical problems design and validate models and communicate results in clear actionable terms. Youll collaborate extensively with our ML Engineer to transition solutions from experimentation to production ensuring models are both effective and robust in real-world environments. Youll 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
- Bachelors or Masters 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. Were committed to equal opportunity employment including veterans and people with disabilities.
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 .
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
New Perspectives on Scandinavian Design. Muuto is rooted in the Scandinavian design tradition characterized by enduring aesthetics, functionality, craftsmanship and an honest expression.
