Applied Data Scientist

Masco • Carmel, IN

2d • Remote

About The Position

At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.
Your Role at Delta Faucet
Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights!
Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company’s growth initiatives.
Responsibilities
As an Applied Data Scientist within Delta Faucet Company’s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI.

Requirements

• 4+ years of experience in data science, advanced analytics, or applied machine learning roles.
• 4+ years of hands-on experience applying statistical methods and analytical modeling to real business problems.
• 4+ years of experience using Python for data analysis, modeling, and experimentation.
• 4+ years of experience writing and refining complex SQL queries against large, structured datasets.
• 3+ years of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations.
• 2+ years of experience working in a modern analytics platform (e.g., Databricks, Spark/PySpark, or similar).
• 1+ years of hands-on‑ experience applying generative AI technologies (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment.
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.

Nice To Haves

• 2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred.
• 1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings.
• 1+ years of experience with conjoint analysis or other stated-preference research methods.

Responsibilities

• Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights.
• Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency.
• Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams.
• Build AI and machine learning solutions that are aligned with business needs.
• Collaborate closely with business stakeholders to translate analytical findings into clear recommendations.
• Present data-driven recommendations to leaders across the organization, including tactical and C-suite.

Benefits

• Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
• Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
• Learning & Development: LinkedIn Learning access; internal opportunities to work on projects cross-company.
• Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees