Sr Data Scientist-Promo Analytics

Milwaukee Tool•Menomonee Falls, WI

About The Position

Senior Data Scientist – Promo Analytics Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success—so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team: As a Senior Data Scientist – Promo Analytics, you will deliver innovative analytics solutions that enable Milwaukee Tool to make fast, data-driven decisions about promotional strategies. Working closely with business partners and the Promo Analytics pod, you will design, build, and support the core systems that power our promo analytics capabilities. You will develop scalable machine learning models and forecasting tools to optimize promotions, ensuring trusted and actionable insights across the organization. You’ll build deep expertise in our promotional data and drive advanced analytics initiatives. Success in this role requires curiosity, a passion for experimentation, and the ability to operate independently while effectively engaging with stakeholders to elevate our team and deliver value to our customers.

Requirements

Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, or equivalent experience.
5 or more years of experience in data science, advanced analytics, or a closely related technical field.
Advanced proficiency in statistical modeling, machine learning, and analytics techniques.
Proficiency in at least one programming language used for data science (Python preferred)
Hands-on experience building, validating, and deploying machine learning and forecasting models in production environments.
Experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar).
Demonstrated ability to develop and implement statistical and ML models for business impact, ideally in pricing, promotion, or revenue management.
Knowledge of experimental design, A/B testing, and model evaluation best practices.
Ability to work independently and collaboratively within cross-functional teams.
Strong problem-solving, debugging, and analytical skills, especially in complex, multi-system environments.
Ability to thrive in agile, dynamic, and collaborative teams, and to communicate complex analytics clearly to technical and non-technical audiences.

Nice To Haves

Experience with advanced machine learning techniques (e.g., time series forecasting, causal inference, uplift modeling, optimization, or reinforcement learning).
Familiarity with promo, pricing, or revenue management analytics.
Experience with Databricks, Azure Machine Learning, or similar cloud-based data science platforms.
Experience with experimentation frameworks (A/B testing, multivariate testing).
Knowledge of data visualization tools (e.g., Power BI, Tableau, matplotlib, or similar).
Experience working with large, complex datasets in a business context.
Experience collaborating in Agile, cross-functional teams.
Strong communication skills for presenting complex analytics to technical and non-technical audiences.

Responsibilities

Design and build machine learning and forecasting models to optimize promotional strategies and deliver measurable business value.
Develop, validate, and deploy advanced statistical and ML models for pricing, promotion, and revenue management.
Translate business needs into actionable data science projects and deliverables within the promo analytics domain.
Apply best practices in model development, experimentation, and continuous improvement to ensure analytics excellence.
Analyze large, complex datasets using Databricks, Azure, and other modern data platforms to uncover actionable insights.
Build and maintain analytics tools and templates to support team productivity and solution delivery.
Conduct root cause analysis for promo analytics issues and contribute to long-term remediation and reliability improvements.
Collaborate with Data Engineers, Product Owners, Business Intelligence Engineers, and other technical team members in a pod structure.
Work directly with marketing and sales teams to understand business challenges and deliver impactful analytics solutions.
Perform other duties as assigned.