Grainger

Bachelor’s or Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience. Experience automating data augmentation and refresh using Airflow and Bash Scripting. Utilize code (Python, SQL) for analyzing and building statistical models to solve specific business problems, like anomaly detection, behavioral clustering, classification and demand forecasting. Positions are available for fully remote as well as hybrid work environments based in either downtown Chicago or Lake Forest, Illinois.. Utilize code (Python, SQL) for analyzing and building statistical models to solve specific business problems, like anomaly detection, behavioral clustering, classification and demand forecasting.

machine learning

Bachelor’s or Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience
4+ years of experience with SQL, Python
High level of proficiency in wrapping models in C/Python code and serving them as REST APIs
3+ years of relevant work experience in an analytical role involving data extraction, analysis, and communication of findings
4+ years of building models using traditional statistical methods and optimizing inference speeds of models when served as endpoints
3+ years of experience deploying models into the cloud with tooling like Docker & Kubernetes
Experience automating data augmentation and refresh using Airflow and Bash Scripting
Ability to effectively communicate technical solutions to engineering teams and business audiences
Responsibilities As part of the Customer Insight team, you will provide all of our customers and sellers with comprehensive reporting, analytics, and actionable insights that deepen Grainger’s relationship with customers and help increase our market share
Work with a team of product managers, data scientists, data engineers and architects to build targeted products that help customers solve and answer specific problems
Utilize code (Python, SQL) for analyzing and building statistical models to solve specific business problems, like anomaly detection, behavioral clustering, classification and demand forecasting
Build, test and deploy customer-facing analytical and ML endpoints & APIs that are a mixture of business logic, model and data
Contribute to the design and development of Insight generation methods using Order History, Product Utilization, Customer Industry Classification and Search History data
Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support
Work backward from customer use cases, engender implementation of ML models that solves the use cases at scale
Articulate concepts and generate visual representations of the data product
This position is salaried and will pay between $116790 - $214710
This range is inclusive of Applied through Principal Machine Learning Scientist compensation
The range provided is a guideline and not a guarantee of compensation
With benefits starting day one, Grainger is committed to your safety, health and wellbeing
Medical, dental, vision, and life insurance coverage starts day one
Paid time off (PTO) days and 6 company holidays per year
6% 401(k) company contribution each pay period
Education assistance, including financial counseling, tuition reimbursement and low-cost degree options
Employee discounts, parental leave, and more
Qualifications Bachelor’s or Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience
4+ years of experience with SQL, Python
High level of proficiency in wrapping models in C/Python code and serving them as REST APIs
3+ years of relevant work experience in an analytical role involving data extraction, analysis, and communication of findings
4+ years of building models using traditional statistical methods and optimizing inference speeds of models when served as endpoints
3+ years of experience deploying models into the cloud with tooling like Docker & Kubernetes
Experience automating data augmentation and refresh using Airflow and Bash Scripting
Ability to effectively communicate technical solutions to engineering teams and business audiences
Responsibilities As part of the Customer Insight team, you will provide all of our customers and sellers with comprehensive reporting, analytics, and actionable insights that deepen Grainger’s relationship with customers and help increase our market share
Work with a team of product managers, data scientists, data engineers and architects to build targeted products that help customers solve and answer specific problems
Utilize code (Python, SQL) for analyzing and building statistical models to solve specific business problems, like anomaly detection, behavioral clustering, classification and demand forecasting
Build, test and deploy customer-facing analytical and ML endpoints & APIs that are a mixture of business logic, model and data
Contribute to the design and development of Insight generation methods using Order History, Product Utilization, Customer Industry Classification and Search History data
Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support
Work backward from customer use cases, engender implementation of ML models that solves the use cases at scale
Articulate concepts and generate visual representations of the data product
Benefits This position is salaried and will pay between $116790 - $214710
This range is inclusive of Applied through Principal Machine Learning Scientist compensation
The range provided is a guideline and not a guarantee of compensation
With benefits starting day one, Grainger is committed to your safety, health and wellbeing
Medical, dental, vision, and life insurance coverage starts day one
Paid time off (PTO) days and 6 company holidays per year
6% 401(k) company contribution each pay period
Education assistance, including financial counseling, tuition reimbursement and low-cost degree options
Employee discounts, parental leave, and more
About Grainger: Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and... inventory management, to save customers time and money. We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today. Position Details: As part of the Customer Insight team, you will provide all of our customers and sellers with comprehensive reporting, analytics, and actionable insights that deepen Grainger’s relationship with customers and help increase our market share. We use technology to serve customers better by scaling our expertise and providing customers with a deeper understanding of their business operations. Positions are available for fully remote as well as hybrid work environments based in either downtown Chicago or Lake Forest, Illinois. We hire at multiple levels for this team, ranging from Applied Machine Learning Scientist through Principal Machine Learning Scientist based on needs of the team and candidate qualifications. You will report to the Sr. Manager, Applied Machine Learning. Pay: This position is salaried and will pay between $116790 - $214710. This range is inclusive of Applied through Principal Machine Learning Scientist compensation. The range provided is a guideline and not a guarantee of compensation. Other factors that are involved in offer decisions include, and are not limited to: a candidate's experience, qualifications, geographical area, and internal equity of the team. You Will:
• Work with a team of product managers, data scientists, data engineers and architects to build targeted products that help customers solve and answer specific problems.
• Utilize code (Python, SQL) for analyzing and building statistical models to solve specific business problems, like anomaly detection, behavioral clustering, classification and demand forecasting.
• Build, test and deploy customer-facing analytical and ML endpoints & APIs that are a mixture of business logic, model and data.
• Contribute to the design and development of Insight generation methods using Order History, Product Utilization, Customer Industry Classification and Search History data.
• Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.
• Work backward from customer use cases, engender implementation of ML models that solves the use cases at scale.
• Articulate concepts and generate visual representations of the data product. You Have:
• Bachelor’s or Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience
• 4+ years of experience with SQL, Python
• High level of proficiency in wrapping models in C/Python code and serving them as REST APIs
• 3+ years of relevant work experience in an analytical role involving data extraction, analysis, and communication of findings
• 4+ years of building models using traditional statistical methods and optimizing inference speeds of models when served as endpoints
• 3+ years of experience deploying models into the cloud with tooling like Docker & Kubernetes
• Experience automating data augmentation and refresh using Airflow and Bash Scripting
• Ability to effectively communicate technical solutions to engineering teams and business audiences Rewards and Benefits: With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice to meet our team members' individual needs. Check out some of the rewards available to you at Grainger.
• Medical, dental, vision, and life insurance coverage starts day one
• Paid time off (PTO) days and 6 company holidays per year
• 6% 401(k) company contribution each pay period
• Education assistance, including financial counseling, tuition reimbursement and low-cost degree options
• Employee discounts, parental leave, and more DEI Statement We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance Company information
As a leading business-to-business organization, more than 3.2 million customers rely on Grainger for products in categories such as safety, material handling, and metalworking, along with services like inventory management and technical support.Grainger is here for the ones who get it done with more than 1.5 million quality in-stock products, a consultative sales approach, technical and product expertise, a premium digital experience, and the ability to get complete orders to customers quickly to help keep theiroperations running and their people safe. Count on us for supplies and solutions for every industry.Visit Grainger.com to learn more.The Grainger shipping box design is a registered trademark of W.W. Grainger, Inc.
Retail, Manufacturing, Construction, Retail Trade, Electrical, Wholesale Trade, Industrial Machinery & Equipment, Utilities, Building Materials, Tools & Hardware
Public Company
Founded: 1927
Company Specialties:
Supply Chain Management, Facilities Management, MRO, Light and Heavy Manufacturing, Healthcare, Inventory Management Solutions, Safety Services, Hospitality, Transportation, and Keepstock #J-18808-Ljbffr

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