Data Scientist II - Marketing Science

Summary

Leaf Home is a home improvement company focused on making homeownership easy and building a data-driven, inclusive workplace. The Data Scientist II - Marketing Science will partner with Marketing to apply statistical modeling, experimentation, causal inference, and machine learning to measure marketing effectiveness, improve investment decisions, and identify growth opportunities. The role also involves developing scalable analytical capabilities, interpreting model outputs, and supporting business adoption across the organization.

Responsibilities

• Own and advance Marketing Science capabilities, including marketing mix modeling (MMM), incrementality measurement, attribution methodology, forecasting, and marketing optimization
• Partner closely with Marketing leaders and channel owners to translate strategic questions into rigorous analytical approaches and clear, actionable recommendations
• Translate complex model outputs, assumptions, uncertainty, and limitations into recommendations that Marketing and executive stakeholders can use to make investment decisions
• Develop fit-for-purpose analytical products and tools to make Data Science outputs accessible and actionable for business users
• Partner with experimentation resources to design and evaluate tests, connect experimental evidence with broader marketing measurement, and use causal evidence to validate and improve models such as MMM and attribution
• Evaluate marketing effectiveness across channels, geographies, audiences, and business units, helping distinguish observed performance from incremental impact and identify opportunities to improve allocation of marketing investment
• Contribute to the development of new Data Science capabilities in emerging areas such as workforce analytics, geographic intelligence, anomaly detection, external signal integration, operational forecasting, and AI-enabled decision support
• Foster and deepen the culture of data-driven decision making across the organization
• Conduct exploratory and ad hoc analyses to support evolving business needs and strategic questions

Skills

• * Bachelor's degree (or equivalent) in computer science, applied mathematics, statistics, or related discipline
• * Strong foundation in statistics and applied modeling, including regression, predictive modeling, model validation, uncertainty, and related quantitative methods
• * Strong communication skills, including the ability to explain complex methodologies, tradeoffs, assumptions, and findings to technical and nontechnical audiences
• * Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status)
• * Occasional overnight travel is required (1-10%)
• * Additional and non-standard hours may be required (exempt)
• * Normal office environment
• * Performs indoor work in a climate-controlled environment
• * Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time
• Master's degree preferred
• * Experience with marketing measurement, marketing mix modeling, incrementality, attribution, experimentation, media optimization, or related Marketing Science applications is strongly preferred
• * Strong proficiency in Python, R, SQL, or other applicable programming languages

Qualifications

Must Haves

• * Bachelor's degree (or equivalent) in computer science, applied mathematics, statistics, or related discipline
• * Strong foundation in statistics and applied modeling, including regression, predictive modeling, model validation, uncertainty, and related quantitative methods
• * Strong communication skills, including the ability to explain complex methodologies, tradeoffs, assumptions, and findings to technical and nontechnical audiences
• * Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status)
• * Occasional overnight travel is required (1-10%)
• * Additional and non-standard hours may be required (exempt)
• * Normal office environment
• * Performs indoor work in a climate-controlled environment
• * Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time

Nice to Haves

• Master's degree preferred
• * Experience with marketing measurement, marketing mix modeling, incrementality, attribution, experimentation, media optimization, or related Marketing Science applications is strongly preferred
• * Strong proficiency in Python, R, SQL, or other applicable programming languages

Benefits

• Competitive medical, dental, and vision benefits after 60 days
• Retirement savings plan with company match
• Paid parental leave and generous paid time off programs
• On-campus fitness programs and meal delivery services
• Comprehensive health, wellbeing, financial wellness, and childcare benefits
• Opportunities for growth and advancement
• Employee assistance program with 24/7 legal, financial, and counseling support
• Employee discount marketplace with thousands of savings options
• Flexible Gym membership
• Employee resource groups, including VetConnect and the Women’s Committee