Data Science and Analytics Leader

Masco•Indianapolis, IN

23h

About The Position

Delta Faucet Company is seeking a Data Science and Analytics Leader to advance data-driven decisions across the business and help shape the smart connected home of the future. Reporting to the Sr. Director of Insights and Analytics, this player/coach will lead analytics practitioners in developing advanced models, influencing IoT architecture, and growing data capability and literacy. The role works alongside research and domain specialists and joins a cross-functional leadership team that influences the architecture and development of data platforms for data science. The leader will build and pilot analytics solutions, create an experimental framework that includes artificial intelligence agents to accelerate product development, and deliver insights on markets, consumers, product mix, competitor performance, and pricing. The position also develops analytics talent, leads academic data science partnerships, and applies statistical frameworks to inform organizational strategy.

Requirements

At least 3 years architecting analytic solutions for sales, marketing, or manufacturing.
At least 3 years crafting data visualizations using Power BI, Python, R-Shiny, or Tableau.
At least 3 years of applied data science experience using R or Python.
At least 2 years of cross-functional initiative experience.
At least 2 years of talent development or teambuilding managerial experience.
Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Economics, or a related field.

Responsibilities

Reinforce data-driven behaviors across the enterprise and move analytic insights into action.
Explore, build, and pilot analytic solutions to enhance business decisions.
Craft an experimental framework, including the use of artificial intelligence agents to accelerate product development.
Deliver market insights on product mix, competitor performance, and pricing detail.
Generate and synthesize economic, market, and consumer insights.
Develop a team of analytics specialists and data scientists.
Brainstorm and implement analytics initiatives that make a difference for the enterprise.
Lead academic data science partnerships.
Coordinate the application of statistical frameworks to inform organizational strategy.
Participate in a cross-functional leadership team influencing data-platform architecture and development to enable data science.
Lead practitioners in developing advanced models and influence IoT architecture.