Data Scientist II

Leafhome; United States; Remote; USD 117,000 - 143,000; Full time

Benefits offered by this job

Competitive medical benefits

Retirement savings with company match

Paid parental leave & generous PTO

Employee discount marketplace

Career growth opportunities

Job summary

Leaf Home is seeking a Data Scientist II to join our Marketing Science team. You will apply statistical modeling, experimentation, causal inference, and machine learning to assess marketing effectiveness and guide investment decisions across channels and geographies.

You will own analytical capabilities from problem framing to implementation and business adoption, collaborating with data science peers and business partners to scale solutions across use cases.

Qualifications

• Bachelor’s degree in CS, math, statistics, or related discipline (Master’s preferred).
• Strong foundation in statistics and applied modeling (regression, predictive modeling, model validation, uncertainty).
• Experience with marketing measurement, MMM, incrementality, attribution, experimentation, or media optimization preferred.

Responsibilities

• Own and advance Marketing Science capabilities, including marketing mix modeling (MMM), incrementality measurement, attribution methodology, forecasting, and marketing optimization.
• Partner with Marketing leaders and channel owners to translate strategic questions into rigorous analytical approaches and clear recommendations.
• Translate complex model outputs, assumptions, uncertainty, and limitations into actionable recommendations for Marketing and executives.
• Develop fit-for-purpose analytical products and tools for business users to access Data Science outputs.
• Collaborate with experimentation resources to design tests and connect experimental evidence with broader marketing measurement.

Skills

Statistics & modeling

Marketing measurement

Communication skills

Work authorization (US)

Education

Bachelor's degree in CS/math/stats

Master's degree preferred

Tools

Python

R

SQL

Job description

Data Scientist II - Marketing Science LeafHome

Address Remote

Compensation $130,000.00/year

Schedule Full time

Job Type Permanent

Highlights

• 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
• Experience with marketing measurement, marketing mix modeling, incrementality, attribution, experimentation, media optimization, or related Marketing Science applications is strongly preferred

Description

About Leaf Home

At Leaf Home, we are powered by people on a single mission to make homeownership easy. We’ve crafted a team of the very best to ensure we make a difference by winning every day. In addition to serving our customers, Leaf Home strives to build a welcoming and inclusive workplace. We are proud to be a certified Great Place to Work® as well as a multi-year recipient of Top Workplaces recognition.

From competitive medical benefits to people-focused committees like the Women’s Committee, Diversity & Inclusion Committee, and VetConnect, we are dedicated to making Leaf Home a workplace where you can win every day. Come grow your career with us.

Why Leaf Home

• We Win – Being driven every day to win is who we are
• People Powered – Recognized as a top Ohio and U.S. workplace by Great Place to Work®, Energage, and more
• Family Feel with Enterprise-Level Resources – You are important to us, and we’ve built a culture you’ll love
• Support – Inclusion, sustainability, and reliability surround everything we do
• Personal Growth – Dedicated to providing resources and encouragement for employee growth
• Mobility – Locations throughout the U.S. and Canada, with continued expansion

Position Summary:

Leaf Home is seeking a sharp and experienced Data Scientist to join our Data Science team. In this role, you will serve as a dedicated analytical partner to Marketing while working as part of the broader enterprise Data Science organization. You will apply statistical modeling, experimentation, causal inference, and machine learning to help the organization understand marketing effectiveness, improve investment decisions, and identify opportunities for growth.

This role extends beyond developing models. You will help own and evolve analytical capabilities from problem definition and methodology development through implementation, interpretation, and business adoption. The ideal candidate combines strong statistical and technical skills with business judgment and an interest in understanding how Marketing decisions are made. While Marketing will be the role’s primary area of focus, you will collaborate with Data Science peers and business partners across the organization to develop solutions that can scale across channels, verticals, and use cases.

Essential Duties and 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.

Experience and Minimum Qualifications:

• Bachelor’s degree (or equivalent) in computer science, applied mathematics, statistics, or related discipline. Master’s degree preferred.
• Strong foundation in statistics and applied modeling, including regression, predictive modeling, model validation, uncertainty, and related quantitative methods.
• Experience with marketing measurement, marketing mix modeling, incrementality, attribution, experimentation, media optimization, or related Marketing Science applications is strongly preferred.
• 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).

Preferred Knowledge, Skills, Abilities or Certifications:

• Strong proficiency in Python, R, SQL, or other applicable programming languages.

Travel Requirements:

• Occasional overnight travel is required (1-10%)

Overtime/Additional Hours Requirements:

• Additional and non-standard hours may be required (exempt).

Physical Requirements:

• 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.

Are We Your Company?

Focused on Growth Leaf Home is dominating the home improvement industry as we continue to grow. We work hard and play harder. With offices across the U.S. and Canada, our diverse team spans marketing, sales, installation, and service. We are committed to employee growth through:

• Innovating, Always – Providing cutting-edge solutions for employees and customers
• Partnering with Our Customers – Building trusted relationships at the core of everything we do
• Empowering Employees – Creating opportunities for growth and success in a supportive environment
• Supporting Our Communities – Giving back to the places our customers and employees call home

What We Offer

• 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
• Employee resource groups, including VetConnect and the Women’s Committee

Awards and Recognition

Leaf Home has been recognized as a top workplace by The Plain Dealer, is a multi-year recipient of Top Workplaces USA by Energage, and is Great Place to Work® Certified™. Additional recognitions include:

• Remodeling 550 list placements
• Smart Culture Awards for employee-focused culture
• Inc. 5000 and Inc. 5000 Regionals: Midwest growth recognition

For a full list of awards, visit www.leafhome.com/press/.

Diversity and Equal Opportunity

Leaf Home is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. Employment decisions are made without regard to race, color, ancestry, national origin, gender identity or expression, sexual orientation, marital status, religion, age, genetic information, veteran status, or disability, in accordance with applicable law.

Americans with Disabilities Act Statement and Contact

Leaf Home is committed to honoring the spirit and requirements of the Americans with Disabilities Act. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [e-mail].