Associate Data Scientist

Description

Schumacher Homes is an award-winning company which strives to be the best on your lot custom homebuilder providing the ultimate customer experience.

Quite simply, no one builds a better home or offers a better place to work. Apply today to join our outstanding team in our Canton, OH office (2715 Wise Ave NW, Canton, OH 44708).

The Associate Data Scientist applies data science to marketing, reporting directly to the Head of Data Science. The role covers marketing activity and attribution, the customer journey from first contact to signed contract, and demographic and residential real estate data across the company's markets. The work informs decision-making across the organization, in partnership with marketing, sales, finance and executive leadership.

Our Associate Data Scientist will:

• Support the Head of Data Science across key initiatives, including marketing analytics and attribution, customer journey mapping, statistical modeling, and demographic data and market analysis.
• Analyze data to identify trends, generate insights, and support data-driven business decisions.
• Collaborate on developing and improving analytical tools, models, and processes.

AI Proficiency

• Integrate AI tools into daily workflows to improve efficiency, accelerate analysis, and support development.
• Use AI coding assistants to write, test, and refactor Python, SQL, and R.
• Leverage AI to quickly understand unfamiliar datasets, codebases, and technical documentation.
• Build lightweight, end-to-end solutions using AI, including applications, data pipelines, and API integrations.
• Validate AI-generated queries, data joins, calculations, and statistical results against source data to ensure accuracy before sharing findings.

Benefits:

• Medical, dental, vision, life, critical illness and accident insurance
• 401K Plan + employer match
• Paid Time Off and Paid Holidays
• Homebuilding discount

Requirements

• Bachelor’s degree in Statistics, Data Science, Mathematics, Economics, Computer Science, Geography/GIS, or a related quantitative field.
• 2+ years of hands-on data science experience, including graduate research, assistantships, or internships. Recent graduates are encouraged to apply.
• Strong foundation in statistical methods, including regression, classification, clustering, experimental design, and causal reasoning.
• Proficiency in Python and SQL; experience with R is a plus.
• Experience working with large, complex, and unstructured datasets.
• Demonstrated proficiency in using AI tools to support coding, data analysis, and solution development.
• Strong written and verbal communication skills, with the ability to explain technical findings to non-technical audiences.

 Preferred Requirements:

• Master’s or other graduate degree in a quantitative field; PhD is a plus.
• Experience analyzing census data, public land records, or property data to inform business decisions.
• Familiarity with marketing analytics, including attribution, funnel analysis, cohort analysis, and propensity modeling.
• Experience working with CRM platforms such as Salesforce or HubSpot and cloud data tools such as Snowflake and dbt.
• Experience building data applications using Python frameworks such as Streamlit.