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Milwaukee Tool · 23 hours ago

Staff Data Scientist-Promo Analytics

Menomonee Falls, WI

Full-time

Onsite

Lead/Staff

8+ years exp

Milwaukee Tool is a leading brand in the construction industry, seeking a Staff Data Scientist in Promo Analytics. In this role, you will drive the architecture and delivery of innovative analytics solutions to enhance promotional strategies and support data-driven decision-making across the organization.

Consumer GoodsElectronicsIndustrialManufacturingSoftware

Growth Opportunities

No H1B

Responsibilities

Architect, design, and build scalable machine learning and forecasting models to optimize promotional strategies and drive significant business impact

Set technical direction for promo analytics, establishing best practices and standards for model development, validation, and deployment

Lead the development and implementation of advanced analytics frameworks, reusable tools, and templates to accelerate team and organizational productivity

Translate complex, cross-functional business needs into actionable data science projects and long-term analytics strategy

Oversee and guide the integration of promo analytics solutions across multiple business domains, ensuring consistency and scalability

Lead root cause analysis for major promo analytics issues, drive long-term remediation, and influence operational reliability improvements

Mentor and provide technical guidance to other data scientists and analytics professionals within the pod and across teams

Collaborate with Data Engineers, Product Owners, Business Intelligence Engineers, and other technical team members to deliver integrated, enterprise-scale solutions

Engage directly with marketing and sales leadership to understand strategic business challenges and deliver high-impact analytics solutions

Perform other duties as assigned

Qualification

Machine LearningStatistical ModelingData SciencePythonCloud PlatformsA/B TestingAgile MethodologiesProblem SolvingCommunication Skills

Required

Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, or equivalent experience

8 or more years of experience in data science, advanced analytics, or a closely related technical field

Expert-level proficiency in statistical modeling, machine learning, and advanced analytics techniques

Advanced proficiency in at least one programming language used for data science (Python preferred)

Extensive hands-on experience building, validating, and deploying scalable machine learning and forecasting models in production environments

Demonstrated experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar)

Proven track record developing and implementing complex statistical and ML models for business impact, ideally in pricing, promotion, or revenue management

Strong knowledge of experimental design, A/B testing, and model evaluation best practices

Ability to lead and influence cross-functional analytics initiatives and set technical direction for data science projects

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

Preferred

Deep expertise with advanced machine learning techniques (e.g., time series forecasting, causal inference, uplift modeling, optimization, or reinforcement learning)

Experience applying analytics to promo, pricing, or revenue management challenges

Hands-on experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar)

Strong background in experimental design and statistical testing (A/B testing, multivariate testing, quasi-experimental methods)

Proficiency with data visualization and storytelling tools (e.g., Power BI, Tableau, matplotlib, or similar)

Demonstrated ability to work with large, complex, and messy datasets in real-world business contexts

Experience collaborating in Agile, cross-functional teams

Exceptional communication skills for translating complex analytics into actionable insights for both technical and non-technical audiences

A track record of thought leadership, publication, or conference presentations in data science or applied analytics (preferred but not required)