Senior Data Scientist - US at mSupply

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Full Time

Start Date

Immediate

Expiry Date

29 Jun, 26

Salary

0.0

Posted On

31 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Git, A/B Testing, Uplift Modeling, Price Elasticity Modeling, Segmentation, MLOps, CI/CD, dbt, Spark, Airflow, Power BI, Feature Engineering, Model Monitoring, Statistical Rigor

Industry

Manufacturing

Description

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 reach 93% of U.S. customers via next-day ground delivery and 100% within 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 complex findings into clear, actionable recommendations for pricing, sales, category management, and finance. DUTIES & RESPONSIBILITIES ML MODEL CODING, MAINTENANCE, CONTINUOUS IMPROVEMENT * Own pricing ML models end-to-end: design, build, validate, deploy, and monitor algorithms (elasticity estimation, segmentation, discount optimization, list/target/contract price recommendations). * Productionize & maintain pipelines for data prep, feature engineering, training, inference, and monitoring (drift, stability, explainability, governance). * Run experiments: design A/B and quasi-experimental tests; define KPIs and guardrails; analyze impact on revenue, margin, and win rate. * Data stewardship: ensure data quality, privacy, and responsible AI practices. * Uplift 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 complex 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 within the analytics domain. Other * Maintains proficiency with company computer systems in aspects related 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 revenue-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, uplift modeling) and statistical rigor. * Experience deploying models to production in cloud data platforms (Microsoft Fabric, Snowflake) and working with dbt for transformations. * Comfort with CI/CD practices (e.g., GitHub 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: Microsoft Fabric (Lakehouse/Synapse), Snowflake, ANSI SQL, dbt. * MLOps & DevOps: Git, GitHub/GitLab or Azure DevOps, CI/CD, model registry, experiment tracking, containerization (Docker 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 * Continuous use of fingers, hands, and arms for computer and office-related tasks * Frequent use of office equipment such as computers, phones, and scanners (up to 8 hours daily) * Regular verbal communication via phone and in-person interactions (up to 6 hours daily) What We 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 make employment decisions without regard to sex, age, race, color, creed, religion, national origin, 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 careers@msupply.com.   [contact%E2%80%AFcareers@msupply.com.] Final offers of employment may be contingent upon completion of job-related 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) check may also be conducted to determine insurability. This employer participates in E-Verify to confirm employment eligibility in the United States.

Responsibilities

The Senior Data Scientist will own, maintain, and evolve machine-learning pricing algorithms to optimize prices across products, customers, and channels for profitable B2B growth. This involves designing, building, deploying, and monitoring ML models while partnering with cross-functional teams to translate findings into actionable business recommendations.