Data Scientist at Kabbage
Atlanta, GA, US
Use machine learning and big data to help Kabbage reinvent how businesses are funded.

Kabbage, one of Forbes' "100 Most Promising American Companies", is building a better way to help small businesses fund their dreams. In 2015 alone, we originated over one billion dollars in loans through our own platform, and we’re cultivating a growing network of partners like ING, Sage, Fleetcorp, Mastercard, Experian and more!

As a part of the Data Science team, you will develop algorithms that leverage multiple data sources to guide (amongst other things) our underwriting process, credit risk assessment, marketing efforts, fraud identification, etc. Our long term vision is to leverage machine learning and NLP to gain a strong understanding of our customers’ underlying business and financial health, use that information to make smarter lending decisions, and help small businesses access and deploy capital more effectively.

A day in the life of a Data Scientist at Kabbage

Work with multiple, complex data sources such as financial transactions, credit bureau reports, social media behavior, and e-commerce data at large scale.
Build predictive models including (but not limited to) credit risk, fraud, marketing response & propensity
Perform thorough testing and validation of models, and support various aspects of the business with data analytics
Design, build, implement & test machine learning models, and ship deployment-ready versions into production
Build frameworks to test various risk strategies and portfolio optimization
Identify new data sources/patterns that add significant lift to predictive modeling capabilities
Develop innovative solutions to hard machine learning problems such as sample selection bias, and semi-supervised learning
What it takes to be a Data Scientist at Kabbage

Strong background in applying statistical machine learning techniques to predictive modeling
Strong ability in at least one programming language, preferably python
Fluency in big data platforms such as Hadoop, MapReduce, Hive, Spark is a plus
Experience with text mining and statistical language processing is a plus
Bachelor’s Degree or above in Computer Science, Math or related disciplines
Relevant industry experience is a big plus
Some of the things we're looking for in you

Highly motivated to tackle multiple projects in parallel
Aptitude to independently learn new technologies
Excellent written and oral communication skills and ability to share findings with a large, non-technical audience
You possess a generosity of spirit
An excellent communicator, teacher and student
A perfectionist who tempers it with deadlines
Why Kabbage?

Our people! We are very proud of our people, our products, and our fun, friendly & passionate culture
Equity – everyone’s an owner!
100% paid benefits
Fully stocked kitchen & catered lunches daily
Casual work environment – just cover all of the requisite parts!
Top of the line hardware
The environment: Of course we have all of the requisite goodies: unlimited food and beverages (of all kinds), lunch catered daily, regular ping pong tournaments, free parking and white boards filled with questionable drawings. More than that, we have a pretty tight team of passionate, driven data enthusiasts with whom you wouldn't mind spending a big part of your day.

#36 on the Inc. 500 | Fast Company’s "Top 10 Most Innovative Companies in Finance" | Business Insider's "Top 20 Unicorn Startups to Work For" | Forbes' "America’s 100 Most Promising Companies"

Kabbage is an equal opportunity employer. At Kabbage we make all employment decisions, which include hiring, promoting, transferring, demoting, evaluating, compensating and separating, without regard to sex, sexual orientation, gender identity, race, color, religion, age, national origin, pregnancy, citizenship, disability, service in the uniform services, or any other classification protected by federal, state or local law.