Applied Data Scientist
Ramat Gan, ILTechnology & Analytics

Description

The Analytics organization at Earnix is charged with developing state of the art analytical solutions & algorithms that are embedded into Earnix suite of products. We are continuously seeking to promote analytical and algorithmic innovation that address a broader set of business problems & challenges faced by Financial Institutions.

We are expanding our team and looking for an Applied Data Scientist who will be responsible for the development, testing and implementation of novel Machine Learning applications to enhance Earnix’s suite of products

Requirements

MSc in Computer Science/Statistics/Engineering or any related field with focus on applied statistics, machine learning, deep learning

At least 2 years’ practical experience in end-to-end implementation of ML models/algorithms and big data applications 

Familiarity with machine learning/statistical/data-analysis algorithms: GLM, decision trees, GBM, clustering

Proficiency in Python and Java


Advantages:

Experience in NLP and/or deep learning implementation

Prior experience in the FinTech industry

Experience with AWS products and services

Experience with Web-development and front-end applications

Familiarity with a wide range of analytical tools/ solutions, with a particular interest in Open Source solutions/tools

Familiarity with containers & containers orchestration (Dockers)


Additional skills:

Fast learner & self-motivated

Strong analytical capabilities

Out of the box thinking

Sufficient mathematical background for reading applied statistical/data-analysis papers

English proficiency – both verbal & written

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