Sr Applied Machine Learning Scientist

 Work Location Type: Hybrid 

As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working® by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we’re dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.

Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry over our next 100 years.

We are looking for an exceptional Machine Learning Scientist to join our dynamic team of 50+ Analytics and Data professionals dedicated to harnessing data and advanced quantitative methods for sustainable, tangible financial gains. You will report into the Senior Manager, Applied Machine Learning. This role can be fully remote or hybrid out of our Chicago, IL or Lake Forest, IL offices.

Pay:

This position is salaried and will pay between $127500 – $196350 with a 10% target bonus.

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 the business to understand the problem space, identify the opportunities, and translate business problems into technical solutions using machine learning frameworks. 
• Collaborate with product managers, data engineers, MLOPs engineers and architects to develop specialized products designed for specific business problems.  
• Utilize SQL and Python to analyze data and build machine learning models for solving distinct business challenges, like product recommendations, anomaly detection, fraud detection, and supply chain optimization.
• Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection. 
• Create scalable, efficient, automated processes for large-scale data analyses, model development, model validation and deployment. 
• Build, test, and deploy customer-facing ML endpoints and APIs that are a mixture of business logic, model, and data. 
• Create visual representations for the data product using open-source web applications. 
• Engage in business storytelling, communicating complex technical concepts to diverse business audiences. 
• Monitor deployed products for continuous improvement.  

You Have:

• MS degree or PhD in a technical field such as Computer Science, Statistics, Applied Mathematics, Physics, Engineering or equivalent experience.  
• 3+ years of hands-on experience with SQL and Python, including experience in an analytical role involving data extraction, analysis, and effective communication of findings.  
• Expertise in building models using traditional statistical methods, optimizing inference speeds, and wrapping models in C/Python code for deployment as REST APIs. 
• Proficiency in deploying models to the cloud using tools like Docker and Kubernetes. 
• Experience automating data augmentation and refresh through tools such as Airflow and Bash Scripting. 
• Familiarity with CI/CD pipelines for testing and deploying Machine Learning endpoints. 
• Demonstrated experience developing and deploying consumable endpoints, including Web Applications and REST APIs. 
• Adherence to software engineering practices and proficiency in collaboration tools such as Git, Bitbucket, and GitHub. 
• Strong communication skills to convey complex technical concepts to both technical and non-technical stakeholders. 

 Preferred:  

• Experience deploying ML applications in real-time environment. 
• Software engineering skills, including code modularization, testing, and documentation. 
• Hands-on experience across the complete lifecycle of an ML project, spanning from collaboration with stakeholders, conceptualization, development, deployment, and continuous monitoring.  
• Experience with advanced NLP techniques. 

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.

• Paid time off (PTO) days and 6 company holidays per year
• Benefits starting on day one, including medical, dental vision and life insurance
• 6% 401(k) company contribution each pay period with no personal contribution required
• Employee discounts, parental leave, tuition reimbursement, student loan refinancing, free access to financial counseling, education and more.

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.