✦ Luna Orbit — Data & Analytics

Data Scientist

at W.W. Grainger

📍 CHICAGO, IL, US, 60661-4555 Hybrid 💰 $85K – $142K USD / year Posted March 26, 2026
Salary $85K – $142K USD / year
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves leveraging machine learning and statistical techniques to analyze data, generate insights, and support business growth. The candidate will work with large datasets and advanced analytics tools.

  • Develop machine learning models
  • Perform statistical analysis
  • Create data visualizations
  • Automate data workflows
  • Support business decision-making

The technical environment includes Python, SQL, TensorFlow, scikit-learn, and Jupyter Notebook for data analysis, modeling, and visualization.

The ideal candidate is a mid-level data scientist with experience in machine learning, statistical analysis, and proficiency in Python and SQL. They should have strong analytical skills and the ability to communicate insights effectively.

Machine LearningStatistical AnalysisPythonSQL
TensorFlowscikit-learnData VisualizationRDeep Learning
Jupyter NotebookTensorFlowscikit-learnwww.grainger.com
Machine LearningStatistical AnalysisPythonSQLData AnalysisData VisualizationRJupyter Notebookscikit-learnTensorFlow
Machine LearningStatistical AnalysisPythonSQLData AnalysisData VisualizationRJupyter Notebookscikit-learnTensorFlow
CommunicationProblem-solvingTeamworkAnalytical ThinkingCritical Thinking
Industry Manufacturing
Job Function Analyze data and develop predictive models to drive business insights
Role Subtype Data Scientist
Tech Domains Python, SQL, TensorFlow, scikit-learn, Jupyter Notebook
Data ScientistMachine LearningStatistical AnalysisPythonSQLData AnalysisData VisualizationTensorFlowscikit-learnJupyter NotebookDeep LearningRAnalyticsData ModelingBig Datadata scientistmachine learningpythonsqlstatistical analysisdata visualizationtensorflowjupyter notebookdeep learning

Lack of experience with machine learning or statistical analysis, No proficiency in Python or SQL, No relevant data analysis experience

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