Techtronic Industries - TTI · 1 day ago
Sr Data Scientist-Promo Analytics
Milwaukee Tool is a leading brand in the construction industry, known for its innovative culture. The Senior Data Scientist – Promo Analytics role focuses on delivering analytics solutions to optimize promotional strategies through data-driven decision-making and collaboration with business partners.
Consumer GoodsE-CommerceIndustrialMachinery ManufacturingManufacturingReal Estate
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
Qualification
Required
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
Preferred
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
Benefits
Robust health, dental and vision insurance plans
Generous 401 (K) savings plan
Education assistance
On-site wellness, fitness center, food, and coffee service
And many more, check out our benefits site HERE
Company
Techtronic Industries - TTI
Techtronic Industries Company Limited (“TTI”, or the “Company”), founded in 1985 by German entrepreneur Horst Julius Pudwill, is a world leader in cordless technology.
Funding
Current Stage
Public CompanyTotal Funding
unknown1990-12-17IPO
Leadership Team
Recent News
2025-12-18
South China Morning Post
2025-12-17
2025-12-07
Company data provided by crunchbase