WalletHub, the #1 Personal Finance App in the US and one of Forbes Top 100
Best StartUp Employers for both 2020 and 2021, 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:
* Selecting the best financial products for your needs
* Taking the right actions to improve your credit score
* Anticipate your future financial health based on your current financial status and history
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!
**Responsibilities**
* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques
* Participating in the areas of architecture, design, implementation, and testing
* Proposing innovative ways to look at problems by using data mining approaches on the set of information available
* Designing experiments, testing hypotheses, and building models
* Conducting advanced data analysis and designing highly complex algorithm
* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems
**Qualifications**
You are the ideal candidate for this job if you have:
* At least 4 years experience in Python and MySQL (or any relational database)
* Min. 2 years of experience as a Data Scientist
* Experience with databases
* Experience in machine learning frameworks and libraries
* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)
* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)
* Computer Science or Mathematics or Physics degree
* Excellent communication and analytical skills
* Willingness to work hard (50 hrs per week)
* Very good English
**Nice to have but not required**
* Experience with Apache Spark
* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)
**Compensation**
* Very competitive salary based on prior experience and qualifications
* Potential for stock options after the first year
* Raise and advancement opportunities based on periodic evaluations
* Visa sponsorship (after 18 months with the company, based on performance, in case you will be working from outside the US).
**Notes**
Expected work schedule is 50 hours/week, Monday to Friday. This position
requires a full overlap with EST business hours (8AM - 7PM ET, including 1 hr
break).
Although we appreciate your interest in working with us, due to the high
number of applications we receive, we will only be able to reply to successful
applicants.
**More about WalletHub**
WalletHub, the #1 Personal Finance App in the US and one of Forbes’ Top 100
Best StartUp Employers for both 2020 and 2021, is seeking hardworking, like-
minded individuals to help us disrupt personal finance and make a tangible
difference in people's everyday lives.
More specifically, we are harnessing the power of data analytics and
artificial intelligence to build the brain of a smart financial advisor, whose
services we’re offering to everyone for free. The WalletHub brain enables
users to make better financial decisions in a fraction of the time with three
unique features:
1. **Customized Credit-Improvement Tips** : WalletHub identifies improvement opportunities and guides you through the necessary corrections.
2. **Personalized Money-Saving Advice** : WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.
3. **Wallet Surveillance** : Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.
WalletHub’s initial focus was in the credit card space, and we quickly became
the go-to credit card resource for consumers and industry professionals alike.
Not only did the nonprofit group Consumer Action rate WalletHub as the best
credit card website, but our industry research and expert opinions are
featured in the national media far more often than any other company in the
space.
In addition to the valuable intelligence the brain provides, WalletHub is the
first service to offer free credit scores and full credit reports that are
updated on a daily basis absent of user interaction, rather than weekly or
monthly and only when a user logs in. Some other services hang their hats on
free credit scores and reports, yet they’re still inferior to what WalletHub
considers minor pieces to a much larger puzzle.
WalletHub focuses on Fin Tech. Their company has offices in Washington DC.
They have a mid-size team that's between 51-200 employees.
You can view their website at <http://www.wallethub.com> or find them on
[Facebook](https://www.facebook.com/walletbub) and
[LinkedIn](https://www.linkedin.com/company/wallethub).
