Data Science and Analytics Leader

Masco•Carmel, IN
•$121,300 - $190,630

About The Position

Delta Faucet Company is seeking a Data Science and Analytics Leader to advance data-driven decision-making and analytics across the business. The role leads practitioners in developing advanced models, contributes to IoT architecture and data platform development, and helps grow data capabilities and literacy throughout the organization. It is a player/coach position working alongside research and domain specialists and a cross-functional leadership team. The successful candidate will develop and pilot analytics solutions that improve business decisions, build experimental approaches that may use artificial intelligence agents to accelerate product development, and synthesize economic, market, and consumer insights. The role also leads analytics specialists and data scientists, supports academic data science partnerships, and applies statistical frameworks to inform organizational strategy. The position reports to the Sr. Director of Insights and Analytics. Delta Faucet describes its culture as inclusive and values diverse perspectives, quality, sustainability, customer satisfaction, and innovation.

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 team-building 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 insight 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.
  • Generate and synthesize economic, market, and consumer insights.
  • Develop a team of analytics specialists and data scientists.
  • Brainstorm and implement analytics initiatives for the enterprise.
  • Lead academic data science partnerships.
  • Coordinate application of statistical frameworks to inform organizational strategy.
  • Join a cross-functional leadership team influencing the architecture and development of data platforms to enable data science.
  • Lead practitioners in developing advanced models and contribute to IoT architecture and data literacy.

Benefits

  • Comprehensive benefit plans.
  • Retirement and savings programs.
  • Tuition reimbursement.
  • Employee incentive programs.
  • Resources for mental, physical, and financial wellbeing.
  • LinkedIn Learning access.
  • Internal opportunities to work on projects across the company.
  • An annual paid volunteer day.
  • Flexible work arrangements and work-life balance are mentioned as elements of the company’s culture.
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