Data Scientist Product Analytics at Givelify

Esteemed by over 1.5 million donors and 60,000 organizations, Givelify is a minority-owned FinTech-for-Good company on a quest to be the place where all giving happens, where good people come together to put more good into our world, leading with heart. In fact, Givelify’s mobile giving app consistently leads the App Store and Google Play in downloads, reviews and 5-star ratings amongst all giving apps.
If you are passionate about using data to inform business and product strategy or answering challenging questions that no one else in the world is tackling while driving philanthropy at scale, this is the job for you!
The Data Scientist will be embedded in our giving partner platforms teams and work cross-functionally to help drive experimental initiatives, leverage our understanding of givers behaviors and motivations to improve our fundraising products and grow generosity for our giving partners.
You’ll get to:
Use a deep understanding of data, our customers, and our unique industry to concretize ambiguous questions about our products and features into testable hypothesis that can be answered with data  
Design experiments and interpret the results to draw detailed and impactful conclusions that drives product growth and feature adoption  
Define how our teams measure product and features success by developing KPI and other business metrics in collaboration with products, engineering, and leadership   
Develop data-informed business insights and work with cross-functional partners to find opportunities for product and business growth  
Extracts data from various data sources; performs exploratory data analysis, cleanses, massages, and aggregates data  
Provide technical contributions to ongoing initiatives to design and build a scalable and future-proof data infrastructure  
Perform data informed customer segmentation to drive product marketing, feature development, business strategy  
Complete data and analytic requests from giving partner teams  
You should bring mad skills & experience:
Master’s or Ph.D. degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field  
Advanced experience in SQL and R or Python 
Advanced experience with experimental design and statistical methods for causal inference.  
Validated experience with data mining, experience with dashboarding/data visualization (e.g., Tableau)  
Strong data storytelling: ability to distill interesting and hard-to-find insights into a compelling, concise data story  
Willingness to get your hands dirty with messy data to find opportunities and uncover insights  
Plus These Superpowers:
Flexible and resourceful in responding to changing demands and meeting deadlines.  
Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.  
Technical leadership experience in a data/analytics team is a plus  
Humble curiosity.  
Customer Focus-Adopts a human-centric approach that meets or anticipates customers' need when developing solutions.  
Effective Communication-Communicates frequently using clarity and appropriate methods/tools of communication.  
Our People & Culture
We are a virtual team of high-performing professionals who innovate & collaborate to fulfill our mission to help people instantly find causes that inspire them to action so they can change the world – one simple, joyful gift at a time.  Our culture of integrity, heart, simplicity, & that “wow” factor fuel our aspiration to be recognized amongst the tech industry’s most inclusive & purpose-driven workplaces.
We take great pride in providing competitive pay, full benefits, amazing perks (including flexible PTO), and most importantly, the opportunity to put passion & purpose to work.