Data Science Manager
Ramat Gan, ILTechnology & Analytics

Position Intro

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

Description

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

We are looking for an experienced, innovative & business savvy Analytics leader to join us and help us seek the next big analytical thing

Requirements

At least 3 years of experience managing highly qualified Data Scientists/Analytics professionals

Advanced degree (MA/MS.C. or higher) in Computer Science/ Data Science/Statistics/ Engineering/ Economics or any related quantitative field with focus on Data analysis, applied statistics, machine learning/ deep learning

At least 8 years of practical experience as a researcher with significant business experience:

Expertise in a wide range of machine learning/ statistical/ data-analysis and state of the art algorithms & applications

Experience in working with external data sources, real time data & processing big data covering both structured and unstructured data

Practical experience in addressing real world business problems. (e.g. pricing, product personalization, event detection, etc…)

Experience in building end to end analytical solutions in financial services or other relevant industries (e.g. retail, web marketing, cyber etc)

Proficiency in Python is a must

Strong technical and technological background with good familiarity of a wide range of ML/AI&Big data tools/ solutions/platforms with particular interest in open source solutions/tools (e.g. AWS Sagemaker, MLOps tools, etc…)

Sufficient mathematical background for reading applied academic papers

Strong verbal & written English communication skills (including presentation skills

Leadership & managerial skills- ability to initiate and lead projects, development of people, collaboration with other departments, assertiveness

Creative and innovative mind- 

Fast learner & self-motivated

Thinking outside of the box

Ability to see the big picture and think broadly

Track record of successful innovation and its implementation

knowledge of Java/ Scala or other programming languages is an advantage

Insurance and/or banking knowledge & experience is an advantage

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