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Steelcase · 2 hours ago

Data Scientist

Grand Rapids, MI

Full-time

Onsite

New Grad, Entry Level

$98K/yr - $118K/yr

Steelcase is a global design and thought leader in the world of work, and they are seeking a Data Scientist professional who is innovative and analytical. The role involves working as an internal consultant to design and deliver solutions to complex business problems using data science or AI.

FurnitureManufacturingRetail

No H1B

Responsibilities

Helping Our People Thrive - wellbeing ensures our employees feel seen, heard and valued

Steelcase offers competitive wages and benefits, to support your life in and out of work

Learning is the foundation of everything we do, and there is no shortage of development opportunities to grow and upskill

Culture 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

Supporting Meaningful Work – work brings deeper motivation, purpose and fulfillment to our lives:

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)

If given the opportunity to leverage any of the skills or abilities below, you’ll find a way, whether you have the skill now or acquire it through study, practice, or learning from experts

Qualification

Data ScienceMachine LearningStatistical AnalysisPythonRData VisualizationAgile CollaborationPredictive ModelingNatural Language ProcessingProblem FramingFeature EngineeringData CleansingEffective CommunicationTeam Collaboration

Required

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

Qualified applicants must be authorized to work in the United States on a full-time basis