Company Description
Givebutter is the most-loved nonprofit fundraising and CRM platform, empowering millions of changemakers to raise more, pay less, and give better. Nonprofits use Givebutter to replace multiple tools so they can launch fundraisers and events, use donation forms and donor management (CRM), send emails and text blasts—all in one place. Use of the Givebutter platform is completely free with a 100% transparent tip-or-fee model.
Givebutter has been certified as a Great Place to Work® in 2021, 2022, 2023, and 2024, and is the #1 rated nonprofit software company on G2 across multiple categories.
Our mission is to empower the changemaker in all of us. We believe giving should be fun, so you’ll want to do it again, and we also believe that work should be fun, so that you’ll have the greatest impact. We are excited to hear from talented people who want to work with other talented people in making the world a butter place—and have fun along the way.
Role Description
As a Data Scientist on the Revenue Team, you’ll be our go-to expert on the customer journey—from first touch through retention—and the data behind it. You’ll leverage your deep statistical and machine learning expertise to understand and optimize every stage of the funnel, working closely with marketing, sales, and customer success to drive revenue growth.
You’ll own the development and execution of sophisticated models and analyses that help us identify opportunities, reduce churn, personalize engagement, and ultimately grow Givebutter’s customer base.
We want to hear from people who…
Excel at advanced statistical and machine learning modeling, turning data from different channels - transactions, CRM systems, customer engagement platforms, web analytics, and marketing automation tools - into actionable insights that empower revenue stakeholders to make impactful decisions.
Have experience collaborating with Sales, Marketing, Customer Success, Customer Experience, and Customer Support teams, deeply understanding their needs, business use cases, and data requirements.
Have strong technical and conceptual experience in the revenue space, including multi-touch attribution, linear and logistic regression, customer segmentation and clustering, churn risk prediction, and engagement scoring—enabling data-driven strategies that directly accelerate growth and retention.
Responsibilities
Manage the inflow of data requests from revenue stakeholders, ensuring adequate two-way communication on needs, expectations, and progress, and high quality, timely delivery.
Be the subject matter expert on the customer funnel, leading the charge in deepening the company’s understanding of what drives acquisition, conversion, engagement, and retention through behavioral insights.
Develop and maintain models for:
Customer lifetime value
Multi-touch attribution
Customer segmentation and clustering
Churn risk prediction
Engagement scoring
Revenue forecasting
Apply statistical and machine learning methodologies including:
Logistic and linear regression
Clustering and dimensionality reduction
Predictive modeling (e.g., decision trees, random forests, gradient boosting, neural networks)
Causal inference and experimentation (e.g., A/B testing, uplift modeling)
Design and deploy machine learning models that enhance targeting, personalization, and lifecycle marketing efforts.
Collaborate cross-functionally with GTM teams (Marketing, Sales, Customer Success) to embed insights and models into decision-making processes.
Communicate complex findings clearly and effectively to both technical and non-technical stakeholders.
Gain a deep understanding of the revenue team’s business needs and data sources, partnering with stakeholders to understand what’s needed in the short- and medium-term.
Working with our analytics engineer, develop the definition, logic, and documentation of the data model that supports these needs, with a focus on quality, usability, adaptability, and clear communication/documentation in a fast-changing environment.
Requirements
5+ years of experience as a Data Scientist or similar role, ideally within a growth, revenue, or marketing analytics function.
Strong statistical foundations and hands-on experience with:
Logistic/linear regression, clustering, and segmentation
Machine learning techniques (e.g., classification, regression, ensemble methods)
Time series forecasting and anomaly detection
Causal inference and experimentation design
Building and validating predictive models at scale
Expert proficiency in SQL and at least one statistical programming language (e.g., Python, R), and familiarity with machine learning libraries such as scikit-learn, XGBoost, TensorFlow, or similar.
Experience with BI tools (e.g., Looker, Mode, Tableau) and modern data stack environments (e.g., dbt, Snowflake, BigQuery).
A strong business acumen with a deep curiosity about how data can drive decisions.
Excellent communication and storytelling skills—you make data come alive.
Remote Work: Work from anywhere in the United States.
Health Insurance: We offer Medical, Dental, and Vision insurance covered 100% for employees as well as HSA and FSA accounts.
Mental Health: Givebutter health insurance plans come with access to a TalkSpace membership.
401k: We offer a 3% 401k match for all eligible employee's.
Vacation and Holiday: Givebutter offers a Flexible PTO policy with uncapped Vacation days. Givebutter is closed for a whole week in the summer for an employee Wellness Week.
Parental Leave: We offer 12 weeks of paid leave for all parents and comprehensive leave planning management through Aidora.
Home Office Stipend: Upgrade your home office with company-sponsored expenses, including high-quality laptops, monitors, and modern technology.
Charitable Giving: Employees are encouraged to donate up to $50/month to any verified nonprofit they wish to support on Givebutter.
Professional Development: We offer learning and development reimbursement opportunities.
Love What You Do: We are a mission-driven company serving the charitable sector. Feel good about the work you're doing and the company you work for.
Hi potential new butterslice! A recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Givebutter is committed to building a diverse and inclusive team. So to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply!
