Gradient Boosting trees, MySQL, Natural Language Processing (NLP), Python Programming, Random forests, Sass, SVN
WalletHub, the #1 Personal Finance App in the US, is rapidly growing and looking for a highly experienced and motivated Senior Machine Learning Engineer for a full-time, permanent position.
The main objective of the Data Science/Machine Learning Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.
Making the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.
By designing and constructing data-driven models, the Data Science/Machine Learning Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.
Such goals include:
With these goals in mind, our Data Scientists/Machine Learning Engineers use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!
Expected work schedule is 50 hours/week, Monday to Friday. In case you will be working from outside the US, please be aware this position requires an overlap with EST business hours.
Responsibilities
Qualifications
You are the ideal candidate for this job if you have:
Nice to have but not required
Compensation
WalletHub is a personal finance company that launched in August 2013. It is based in Miami and owned by Evolution Finance, Inc. WalletHub offers free consumer tools, such as its WalletLiteracy Quiz and its Financial Fitness Tool, which provides users with credit reports, credit scores and credit monitoring.