We are seeking an Associate-level Data Science professional who is innovative, analytical, solutions-oriented, and an effective communicator to join our team.
What You Will Be Doing:
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. We are seeking a data science professional who is innovative, analytical, solutions-oriented, and an effective communicator to join our team. 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.
Who You Are:
- Ability to act as an internal consultant to conceive, design, develop and deliver solutions to complex and ambiguous business problems by the application of data science or Artificial Intelligence (AI)
- Ability to frame business problems as “data problems” to be solved with data and algorithms
- Ability to effectively communicate methods and solutions to diverse audiences at various levels of organizational hierarchy and various levels of technical knowledge
- Ability to collaborate on multi-disciplinary Agile teams to ensure clarity of product/project demands and quality of product/project delivery
- Knowledge and application of data science or Artificial Intelligence (AI) including
- Ability to prepare data for analysis including data cleansing, data harmonization, data augmentation, data imputation, exploratory data analysis, principal components analysis, feature engineering, feature reduction, and feature selection
- Ability to work with various data types including structured data (tabular) and unstructured data such as text and image data
- Knowledge and application of operations research and management science methods such as mathematical modeling, statistics, and optimization
- Knowledge and application of statistics including distributions, sampling, simulation, and design of experiment
- Knowledge and application of time series analysis including univariate and multivariate forecasting with models such as ARIMAX, exponential smoothing, and regressive neural networks
- Knowledge and application of machine learning including unsupervised learning, supervised learning, and reinforcement learning
- Knowledge and application of supervised learning methods and models such as linear regression, logistic regression, decision forest, gradient boosted trees, support vector machines, and neural networks
- Knowledge and application of neural network structures including multi-layer perceptrons, recurrent neural networks, convolutional neural networks, and transformers
- Knowledge and application of signal processing methods
- Knowledge and application of both traditional and contemporary (neural networks) natural language processing methods
- Ability to apply transfer learning based on industry-leading, pre-trained models
- Ability to train and deploy predictive models including model training, measurement of model performance by various metrics, scoring observations, monitoring continued model performance and drift, and scheduling or triggering retraining
- Proficiency in open-source programming to support data science work including at least one of the following languages: Python (with numpy, pandas, scikit-learn, matplotlib/seaborn, and TensorFlow/PyTorch), R (with tidyverse, caret, and ggplot2)
- Proficiency in distributed storage / distributed compute environments (i.e. Databricks, Spark, PySpark)
- Proficiency with optimization tool(s) (i.e. Google OR Tools, Gurobi, or MATLAB Optimization Toolbox)
- Proficiency in data visualization using open source libraries (i.e. matplotlib, ggplot2) and dedicated applications (i.e. Tableau, PowerBI)
Education/Experience:
- Bachelor's degree in quantitative or technical field including but not limited to Statistics, Mathematics, Data Science, Predictive Analytics, or Operations Research is highly preferred. Recent graduates will be considered.
- Prior independent, academic, internship, or work experience in “Skills/Abilities” outlined above is required
- General knowledge of manufacturing industry and business functions is preferred
Who We Are:
Steelcase is a global design and thought leader in the world of work. Along with our expansive community of brands, we design and manufacture innovative furnishings and solutions to help people do their best work in the many places where work happens.
Why People Choose to Work with Us:
At Steelcase, we put people at the center of everything we do. We understand the role of work and believe that it can bring meaning and purpose to the lives of our customers and our employees. We prioritize supporting our employees both in and out of work, in all aspects of their lives. When we bring our talents together, we make a positive lasting impact through our work and communities.
What Matters to Us:
More than qualifications, we’re looking for talent and potential. We are proud to have a diverse and inclusive workforce, and we're always looking to improve our global community. We value applicants who are comfortable interacting with people different from themselves, building mutual respect and positive relationships. We invite people from all backgrounds and genders to apply. If we can make the application process easier through accommodation, please email us at myhr@steelcase.com.
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. We are proud to be recognized for our inclusive workforce by the Corporate Equality Index for the past nine years.
Steelcase is a MVAA- Silver Level Veteran-Friendly Employer. Steelcase recognizes the amazing experiences and skills that Veteran's possess. We encourage all Veterans and Veteran Spouses to apply.
Please see our Working at Steelcase Document for more detailed benefits and compensation information.
If you’re interested in Steelcase, but this isn’t the right time or role, join our Talent Community to be updated on future openings in your area(s) of expertise.
