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Engaged Employer

WalletHub

Compare

3.0

based on 5 Reviews

9 WalletHub Jobs

Senior Machine Learning Engineer

WalletHub

3.0

based on 5 Reviews

4-6 years

Remote

1 vacancy

Senior Machine Learning Engineer

WalletHub

posted 5mon ago

Job Role Insights

Key skills for the job

Data Science Data Analysis Python Machine Learning Data Mining MySQL

+ 3 more

Job Description

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 WalletHubs 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!

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

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)