Data Scientist
Listed on 2025-12-29
-
IT/Tech
Data Analyst, Data Scientist
General Information
Country: USA
State: Michigan
City: Grand Rapids
Office
Location:
901 44th Street SE
Date posted: 22-Dec-2025
Business Function: Information Technology
Position Type: Full-Time/Regular
Job DescriptionWe are seeking a Data Scientist professional who is innovative, analytical, solutions-oriented, and an effective communicator to join our team.
Data science is the practice of generating novel information, which cannot be found by lookup in the raw or explicit data available, by statistical and mathematical techniques in order to augment and/or automate decisions and processes critical to business success.
You will work as an internal consultant in relationship with business partners and experts in diverse business and technical domains to conceive, design, develop, and deliver solutions to complex and ambiguous problems by the application of data science or Artificial Intelligence (AI).
Minimum Qualifications- Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Predictive Analytics, Operations Research).
- Ability to act as an internal consultant to design and deliver solutions to complex business problems using data science or AI.
- Skill in framing business problems as data problems and communicating solutions to diverse audiences.
- Experience collaborating on Agile teams to clarify requirements and ensure quality delivery.
- Ability to prepare and work with structured and unstructured data, including cleansing, harmonization, augmentation, and feature engineering.
- Ability to apply advanced analytical methods including operations research, management science, statistics, time series forecasting (ARIMAX, exponential smoothing, neural networks), machine learning (supervised, unsupervised, reinforcement), and natural language processing (traditional and neural network-based).
- Experience in developing and deploying predictive models using techniques such as regression, decision forests, gradient boosting, SVMs, neural networks (MLPs, RNNs, CNNs, transformers), transfer learning, and signal processing; monitor performance, drift, and retraining needs.
- Proficiency in open-source programming (Python or R) and data visualization libraries (matplotlib, ggplot2).
- Proficiency with distributed computing (Databricks, Spark) and optimization tools (Google OR Tools, Gurobi).
- Prior independent, academic, internship, or work experience applying data science methods.
- Advanced degree in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Predictive Analytics, Operations Research).
- Familiarity with advanced visualization tools (Tableau, Power BI).
- General knowledge of the manufacturing industry and business functions is preferred.
Qualified applicants must be authorized to work in the United States on a full-time basis. Steelcase will not provide support for or sponsor work authorization and/or visas for this role.
Benefits- Competitive wages and benefits to support your life in and out of work.
- Learning opportunities and a wide variety of development programs.
- Culture that is a lifestyle at Steelcase and we live it every day.
- Opportunity to make an impact on the world through Steelcase’s commitment to people and planet.
Steelcase provides employment opportunities to all qualified employees and applicants without regard to race, color, creed, genetic information, religion, national origin, gender, sexual orientation, gender identity and expression, age, disability, or veteran status and bases all employment decisions only on valid job requirements. If we can make the application process easier through accommodation, please email us at
The annual base salary range for this position is $98,000 - $118,000. Please note that the salary information is a general guideline only. Steelcase considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.
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