Sr Data Scientist
About The Position
We are looking for a Sr Data Scientist to join our Inventory Optimization team, bringing expertise in data analysis and advanced quantitative methods (machine learning and operations research) to drive impactful business outcomes. These analytics-based solutions are used to improve how Grainger’s supply chain is designed, operated and maintained, aligning solutions with strategic goals and service to our customers. The ideal candidate is intellectually curious, continuously learning, and motivated to explore new technologies, business insights, and customer behaviors. This role requires a strong commitment to innovation and long-term value creation through data-driven decision-making. This position is to be located hybrid (2 days per week) from either our Lake Forest, IL or downtown Chicago office is preferred. Remote/virtual may be considered for candidates outside this area.
Requirements
- Bachelor's Degree BS in technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering required
- 3+ years experience in analytics and data science roles required
- Proficient in usage of databases (e.g. Teradata, Snowflake, Oracle) and querying languages (e.g. SQL)
- Knowledge of one or more of the following programming languages: Python, R, SPSS, or SAS
- Proficiency with extraction and manipulation of very large structured and unstructured datasets
- Proficiency with data visualization techniques
- Proficiency with multi-variate linear regression, logistic regression, and time series modeling
- Proficiency with statistical design of experiments, outlier detection methods, and statistical hypothesis testing
- Proficiency with clustering and dimension reduction techniques
- Knowledge of classification, gradient-boosting, and natural language processing algorithms
- Experience leveraging cloud-based machine learning resources such as those from AWS
- Demonstrated ability to translate analytical work into presentations (e.g. PowerPoint) suitable for non-technical audiences
- Demonstrated ability to collaborate with business partners and colleagues
Nice To Haves
- Advanced degree (Master's Degree MS or PhD) in technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering preferred
Responsibilities
- Analyze data sets, build predictive models, leverage operations research, and deploy and operationalize solutions to enhance supply chain performance.
- Apply operations research techniques such as linear programming, integer programming etc. and machine learning techniques such as classification, clustering, regression, and time series forecasting to build explanatory, predictive, and prescriptive models appropriate for solving different supply chain problems.
- Conduct exploratory data analysis and apply supply chain understanding to uncover new insights and form recommendations rooted in analytics.
- Create and present the materials necessary to communicate the results of analytical work and associated recommendations and influence the use of analytical recommendations.
- Use your experience on Grainger’s business operations, go-to-market model, and the broader Maintenance, Repair, and Operations (MRO) market 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)
- 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
- free access to financial counseling, education, and tools
- Maternity support programs
- nursing benefits
- up to 14 weeks paid leave for birth parents
- up to 4 weeks paid leave for non-birth parents
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What This Job Offers
Job Type
Full-time
Career Level
Senior
