Grainger
Senior Applied Machine Learning Scientist
Grainger, Lake Forest, Illinois, United States, 60045
Senior Applied Machine Learning Scientist
As a Senior Machine Learning Scientist, you will lead the design, development, and deployment of scalable ML solutions that directly influence strategic business decisions and product capabilities. You’ll work end-to-end — from understanding complex business challenges and exploring data, to developing, deploying, and operationalizing advanced models that make a real-world impact. Our team is dedicated to leveraging data, advanced analytics, and machine learning to deliver tangible, long-term business value and measurable financial impact. You Will
Partner with business teams to understand problems, identify opportunities, and translate them into impactful ML solutions. Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection. Design, build, and deploy scalable ML models and pipelines from ideation to production, following best practices in MLOps and software engineering. Use advanced ML methods — including deep learning, NLP, LLMs, and time series forecasting — and selectively apply optimization approaches like linear programming or simulation to build scalable, data-driven solutions. Develop interactive analytical tools and applications (e.g., React, Streamlit) to visualize model outputs, simulate scenarios, and make insights actionable. Design and deploy scalable, automated ML workflows for data analysis, model development, validation, and deployment — integrating analytical products and APIs into business systems. Collaborate with business partners, engineering, MLOps/DevOps and Product teams to design and implement AI solutions that integrate predictive and prescriptive components. Articulate concepts and generate visual representations of your work and the impact it creates — communicating analytical insights clearly to technical and non-technical audiences. Stay current with advancements in machine learning, optimization, simulation, and decision science, applying relevant innovations to your work. You Have
MS degree or PhD in a technical field such as Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, Applied Science or Engineering. 3+ years of experience delivering end-to-end ML solutions at scale — from data ingestion through model deployment and monitoring. Advanced proficiency in Python and SQL for data manipulation and model development. Hands-on experience with machine learning frameworks and deployment tools (e.g., scikit-learn, PyTorch, TensorFlow, MLflow, REST APIs). Familiarity with containerization, CI/CD, and version control (Kubernetes, Docker, Git). Experience building interactive, model-driven applications using React, Streamlit, or similar frameworks. Experience with databases (Teradata, Snowflake, S3) and data processing at scale. Proven ability to apply deep learning and transformer-based modeling methods in production environments. Familiarity with modern ML architectures, including embedding models, multimodal systems, or generative AI (LLMs, diffusion models) where applicable. Strong analytical and problem-solving mindset; able to translate complex business challenges into structured, data-driven solutions. Excellent communication skills, with the ability to convey technical concepts to both technical and business audiences. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work 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. If you need a reasonable accommodation during the application and selection process or during employment, please advise us so that we can provide appropriate assistance. Position Details
As a Senior Machine Learning Scientist, you will lead the design, development, and deployment of scalable ML solutions that directly influence strategic business decisions and product capabilities. You’ll work end-to-end — from understanding complex business challenges and exploring data, to developing, deploying, and operationalizing advanced models that make a real-world impact. Our team is dedicated to leveraging data, advanced analytics, and machine learning to deliver tangible, long-term business value and measurable financial impact. Compensation and Benefits
Compensation
The anticipated base pay compensation range for this position is $121,500.00 to $202,500.00. The pay range provided above is not a guarantee of compensation and may vary based on location and experience. Rewards And 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 and 6 free therapy sessions per year. 18 paid time off (PTO) days annually for full-time employees, plus 6 company holidays. 6% company contribution to a 401(k) plan per pay period, with no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and access to financial counseling 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. For additional information and details regarding Grainger’s benefits, please click on the link below: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire The pay range described above is subject to change and does not guarantee compensation. Position Details (cont.) Other details: Seniority level: Mid-Senior level; Employment type: Full-time; Job function: Other; Industries: Retail Office Equipment.
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As a Senior Machine Learning Scientist, you will lead the design, development, and deployment of scalable ML solutions that directly influence strategic business decisions and product capabilities. You’ll work end-to-end — from understanding complex business challenges and exploring data, to developing, deploying, and operationalizing advanced models that make a real-world impact. Our team is dedicated to leveraging data, advanced analytics, and machine learning to deliver tangible, long-term business value and measurable financial impact. You Will
Partner with business teams to understand problems, identify opportunities, and translate them into impactful ML solutions. Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection. Design, build, and deploy scalable ML models and pipelines from ideation to production, following best practices in MLOps and software engineering. Use advanced ML methods — including deep learning, NLP, LLMs, and time series forecasting — and selectively apply optimization approaches like linear programming or simulation to build scalable, data-driven solutions. Develop interactive analytical tools and applications (e.g., React, Streamlit) to visualize model outputs, simulate scenarios, and make insights actionable. Design and deploy scalable, automated ML workflows for data analysis, model development, validation, and deployment — integrating analytical products and APIs into business systems. Collaborate with business partners, engineering, MLOps/DevOps and Product teams to design and implement AI solutions that integrate predictive and prescriptive components. Articulate concepts and generate visual representations of your work and the impact it creates — communicating analytical insights clearly to technical and non-technical audiences. Stay current with advancements in machine learning, optimization, simulation, and decision science, applying relevant innovations to your work. You Have
MS degree or PhD in a technical field such as Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, Applied Science or Engineering. 3+ years of experience delivering end-to-end ML solutions at scale — from data ingestion through model deployment and monitoring. Advanced proficiency in Python and SQL for data manipulation and model development. Hands-on experience with machine learning frameworks and deployment tools (e.g., scikit-learn, PyTorch, TensorFlow, MLflow, REST APIs). Familiarity with containerization, CI/CD, and version control (Kubernetes, Docker, Git). Experience building interactive, model-driven applications using React, Streamlit, or similar frameworks. Experience with databases (Teradata, Snowflake, S3) and data processing at scale. Proven ability to apply deep learning and transformer-based modeling methods in production environments. Familiarity with modern ML architectures, including embedding models, multimodal systems, or generative AI (LLMs, diffusion models) where applicable. Strong analytical and problem-solving mindset; able to translate complex business challenges into structured, data-driven solutions. Excellent communication skills, with the ability to convey technical concepts to both technical and business audiences. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work 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. If you need a reasonable accommodation during the application and selection process or during employment, please advise us so that we can provide appropriate assistance. Position Details
As a Senior Machine Learning Scientist, you will lead the design, development, and deployment of scalable ML solutions that directly influence strategic business decisions and product capabilities. You’ll work end-to-end — from understanding complex business challenges and exploring data, to developing, deploying, and operationalizing advanced models that make a real-world impact. Our team is dedicated to leveraging data, advanced analytics, and machine learning to deliver tangible, long-term business value and measurable financial impact. Compensation and Benefits
Compensation
The anticipated base pay compensation range for this position is $121,500.00 to $202,500.00. The pay range provided above is not a guarantee of compensation and may vary based on location and experience. Rewards And 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 and 6 free therapy sessions per year. 18 paid time off (PTO) days annually for full-time employees, plus 6 company holidays. 6% company contribution to a 401(k) plan per pay period, with no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and access to financial counseling 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. For additional information and details regarding Grainger’s benefits, please click on the link below: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire The pay range described above is subject to change and does not guarantee compensation. Position Details (cont.) Other details: Seniority level: Mid-Senior level; Employment type: Full-time; Job function: Other; Industries: Retail Office Equipment.
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