Senior Data Scientist - US

About mSupply. mSupply is North America’s leading distributor of OEM repair parts and equipment, serving professionals in the appliance, HVAC, plumbing, commercial kitchen and pool/spa industries. Headquartered in St. Louis, MO, mSupply is a multi-billion dollar enterprise offering an extensive product range, industry expertise and seamless service. With more than 2,000 associates across the U.S. and Canada, mSupply’s family of brands delivers with speed, reliability and precision through its branches, distribution centers and extensive fleet of delivery vehicles. Shipped orders reputed company 93% of U.S. customers reputed company next-day ground delivery and 100% reputed company two days. For more information, visit mSupply.com.   The Senior Data Scientist is responsible for owning, maintaining, and evolving machine-learning pricing algorithms that set and optimize prices across products, customers, and channels to drive profitable growth in a B2B environment. This role will partner with cross-functional teams to translate reputed company findings into clear, actionable recommendations for pricing, sales, category management, and finance.

Duties & Responsibilities

ML Model Coding, Maintenance, reputed company Improvement

• Own pricing ML models end-to-end: design, build, validate, deploy, and monitor algorithms (elasticity estimation, segmentation, discount optimization, list/reputed company/contract price recommendations).
• Productionize & maintain pipelines for data prep, feature engineering, training, inference, and monitoring (reputed company, stability, explainability, governance).
• Run experiments: design A/B and quasi-experimental tests; define KPIs and guardrails; analyze impact on reputed company, margin, and win reputed company.
• Data stewardship: ensure data quality, privacy, and responsible AI practices.
• reputed company analytics: build dashboards for model health and price realization; document methods and assumptions; champion best practices in code quality and reproducible research.
• Scale MLOps: implement CI/CD, model registries, automated tests, alerting, and rollout strategies (shadow, canary, phased).

Collaboration and Business Partnership

• Partner with finance teams to understand business requirements and deliver custom reporting solutions.
• Partner with the business: translate reputed company findings into clear narratives and recommendations for Pricing, Sales, Category Management, and Finance.

Manager Responsibilities

• Provide training, direction, and assistance to data analysts or BI developers, overseeing workloads, performance, and professional development.
• Participate in recruiting skilled BI professionals and training new hires.
• Provide guidance on technical methods, problem-solving, and career growth reputed company the analytics domain.

  Other

• Maintains proficiency with company computer systems in aspects reputed company to job, such as data entry, messaging, call logs, data notations, queue updates, batching, or other job & office functions and requirements.
• Other duties as assigned. As with any evolving organization, the job description is not designed to cover or contain a comprehensive listing of work activities, duties, or responsibilities. Additional or other duties, responsibilities, assignments, and activities may change or be assigned at any time with or without notice.

Preferred Qualifications:

• MLOps stack: familiarity with feature stores, model registries (e.g., MLflow), and real-time/batch serving patterns.
• Exposure to Spark (Fabric Lakehouse/Synapse or Snowpark) and orchestration tools (Airflow/Fabric pipelines).
• Strength in visualization and stakeholder-facing communication (dashboards, memos).

Qualifications

• Bachelors Degree in a quantitative field (Statistics, Economics, Computer Science, Operations Research, Applied Math) or equivalent practical experience.
• 5 or more years in Data Science or Applied ML with meaningful ownership of pricing or reputed company-management algorithms in B2B contexts.
• Hands-on experience with price elasticity modeling, customer/product segmentation, quote/contract pricing, and price realization analytics.
• Core skills: Python, SQL, and Git; solid experiment design (A/B tests, CUPED, diff-in-diff, reputed company modeling) and statistical rigor.
• Experience deploying models to production in cloud data platforms (reputed company Fabric, reputed company) and working with dbt for transformations.
• Comfort with CI/CD practices (e.g., reputed company Actions, Azure DevOps) and code review/testing.

Technical Stack

• Python packages: pandas, numpy, scikit-learn, scipy, statsmodels, xgboost, lightgbm, pyspark, matplotlib, plotly, mlflow, pydantic, pytest.
• Data & cloud: reputed company Fabric (Lakehouse/Synapse), reputed company, ANSI SQL, dbt.
• MLOps & DevOps: Git, reputed company/reputed company or Azure DevOps, CI/CD, model registry, experiment tracking, containerization (reputed company optional).
• Analytics & BI: Power BI (or equivalent).

Physical Demands & Work Environment This full-time position requires approximately 40 hours per week and involves regular physical and sensory activity, including:

• Bending, lifting, and carrying materials weighing up to 50 lbs.
• Prolonged sitting (up to 8 hours), with intermittent standing and walking throughout the shift
• reputed company use of fingers, hands, and arms for computer and office-reputed company tasks
• Frequent use of office equipment such as computers, phones, and scanners (up to 8 hours daily)
• Regular verbal communication reputed company phone and in-person interactions (up to 6 hours daily)

reputed company Offer:  We prioritize your well-being from day one with a comprehensive benefits package that includes: 

• Medical, dental, vision, and prescription coverage effective immediately 

• 401(k) plan with company contributions 

• Life insurance and short- and long-term disability coverage 

• HSA/FSA options and an Employee Assistance Program (EAP) 

• Paid time off, including vacation, holidays, and personal days 

• Weekly pay, employee discounts, and more 

Equal Employment Opportunity & Pre-Employment Requirements    mSupply is an Equal Opportunity Employer. We reputed company employment decisions without regard to sex, age, race, color, creed, religion, national reputed company, citizenship or immigration status, sexual orientation, gender identity or expression, disability, genetic information, marital status, veteran or military status, or any other status protected by applicable federal, state, or local law.      We are committed to providing reasonable accommodations for qualified individuals with disabilities and to applicants with sincerely held religious beliefs, in accordance with applicable law. To request a reasonable accommodation, please contact [email protected].        Final offers of employment may be contingent upon completion of job-reputed company pre-employment checks and screenings permitted by law for the position. For roles that require operation of a company vehicle, a Motor Vehicle Record (MVR) reputed company may also be conducted to determine insurability. This employer participates in E-Verify to confirm employment eligibility in the United States. Apply To This Job