Sr Data Scientist

Grainger Businesses • Lake Forest, IL

19h • Hybrid

About The Position

We are looking for a Data Scientist to join our OST Advanced Analytics & Insights team who is passionate about using data and advanced quantitative methods to provide tangible, long-term monetary benefits to our organization. We're looking for people who never stop learning. Having a desire to learn new skills and seek out new information about our business, our customers, and our work is important to maintain our success for the next 90 years. The Sr. Data Scientist will support the operations process by: 1) Creating perspectives on system behaviors and employee process dynamics that inform strategic operational decisions 2) Developing and deploying statistical and machine learning models that improve the effectiveness of our branch and warehouse operations 3) Measuring and identifying the drivers of operations performance.
Ideally, the position is located at our Lake Forest, IL or downtown Chicago office (hybrid) 2 days per week. Remote/virtual candidate may be considered for those outside the 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)
• Experience of one or more programming languages, such as Python and R
• 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

• Master's Degree MS or PhD in technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science, Engineering, or Economics preferred

Responsibilities

• 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 appropriate for solving different business problems.
• 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 your 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

• With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:
• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees