Senior Data Scientist

🕒 October 8

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Givelify

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🤲 Charity

🤝 Non-profit

☁️ SaaS

Charity • Non-profit • SaaS

Givelify is a platform focused on empowering donors and organizations through its highly rated giving app, designed to make charitable contributions simple and accessible. The company provides comprehensive solutions for donor management and engagement, integrating AI-powered insights to improve donor relationships. Givelify partners with over 70,000 organizations and has facilitated over $1 billion in donations, positioning itself as a leader in charitable giving technology, particularly for nonprofits and places of worship.

📋 Description

• Own development of organization-wide business dashboards providing insight into company performance, functional health, and execution velocity • Define, instrument, and maintain important metrics with cross-functional teams • Design and execute rigorous A/B and multivariate experiments with Product and cross-functional teams • Advance experimentation methodology, including measuring experience-driven features and managing concurrent experiments • Build predictive and behavioral models covering segmentation, churn, propensity, and related analyses • Translate complex analytical findings into decision-ready recommendations for executives and cross-functional stakeholders • Surface opportunities to apply experimentation and causal rigor across the organization • Involve stakeholders throughout the analytical process, from question definition through recommendation • Lead with expertise, build strong processes, and improve team capabilities

🎯 Requirements

• 5–8+ years of experience in data science, business intelligence, applied statistics, or advanced analytics • Master's or Ph.D. in Statistics, Data Science, Operations Research, Mathematics, Econometrics, or a related quantitative field • Strong track record building business dashboards and insight systems that drive operational visibility and executive decision-making • Solid experience with experimental design and causal inference, including A/B testing, power analysis, difference-in-differences, and propensity methods • Strong background in predictive and behavioral modeling, including regression, classification, segmentation, time series, and gradient boosting • Expert in SQL • Advanced proficiency in Python, including pandas, scikit-learn, statsmodels, and PySpark, and/or R • Hands-on experience with modern data stacks; Databricks preferred • Practical fluency using AI/LLM tools for exploratory analysis, code assistance, and documentation • Understanding of responsible AI use and data governance • Comfortable working across varied problem types

🏖️ Benefits

• Competitive pay • Full benefits to help care for you today and in the future • Amazing perks, including flexible PTO • Virtual team environment • Opportunity to put passion and purpose front and center