Associate Data Scientist
About The Position
Schumacher Homes is an award-winning custom homebuilder focused on providing an outstanding customer experience. The Associate Data Scientist applies data science to marketing and reports directly to the Head of Data Science. The role analyzes 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. Findings support decision-making across the organization in partnership with marketing, sales, finance, and executive leadership. The Associate Data Scientist supports the Head of Data Science on marketing analytics and attribution, customer journey mapping, statistical modeling, and demographic data and market analysis. The role also uses AI tools in daily workflows to improve efficiency, accelerate analysis, and support development, while validating AI-generated work against source data before sharing findings. The position is based in Schumacher Homes’ Canton, Ohio office.
Requirements
- Bachelor’s degree in Statistics, Data Science, Mathematics, Economics, Computer Science, Geography/GIS, or a related quantitative field.
- At least 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 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, including the ability to explain technical findings to non-technical audiences.
Nice To Haves
- Experience with R.
- 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.
Responsibilities
- Support the Head of Data Science on 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.
- 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.
- Use AI to 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 before sharing findings.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Critical illness and accident insurance
- 401(k) plan with employer match
- Paid time off
- Paid holidays
- Homebuilding discount
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
