Work as a Sr. Data Scientist on our OST Advanced Analytics & Insights team to create perspectives on system behaviors and employee process dynamics, develop and deploy statistical and machine learning models, and measure and identify the drivers of operations performance.
Requirements
- Analyze data sets, build predictive models, deploy and operationalize solutions to enhance organizational performance.
- Apply techniques such as classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive pricing models.
- Conduct exploratory data analysis and apply deep business knowledge to branch and warehouse operations data to uncover new insights.
- Create and present the materials necessary to communicate the results of analytical work and associated recommendations and influence the use of analytical recommendations.
- Use expertise in warehouse operations, process efficiency, and system performance to inform analytical decisions and recommendations.
- Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection.
- Create the code to support large-scale data analyses, model development, model validation and deployment.
- Assist junior team members in developing new skills and knowledge.
Benefits
- Medical, dental, vision, and life insurance plans with coverage starting on day one of employment.
- 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
- 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
- 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
- Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
- Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.
To apply for this job please visit jobs.grainger.com.

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