Grainger · 6 hours ago
Sr Applied Machine Learning Scientist
United States
Full-time
Remote
Mid, Senior Level
$124K/yr - $207K/yr
3+ years expGrainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. 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.
HospitalityIndustrialManufacturingOffice SuppliesSupply Chain Management
Responsibilities
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
Qualification
Required
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
Benefits
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.
Company
Grainger
As a leading business-to-business organization, more than 4.5 million customers worldwide rely on Grainger for products in categories such as safety, material handling and metalworking, along with services like inventory management and technical support.
10001+ employees
H1B Sponsorship
Grainger has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (38)
2024 (26)
2023 (15)
2022 (28)
2021 (14)
2020 (20)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
D. G. Macpherson
Chief Executive Officer
Nancy Berardinelli-Krantz
Senior Vice President and Chief Legal Officer
Recent News
2026-02-07
Benzinga.com
2026-02-03
2026-02-03
Company data provided by crunchbase