עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
We continuously promote analytical and algorithmic innovation that addresses a wider set of business problems & challenges faced by financial Institutions. We are seeking an?experienced, innovative & business-savvy Analytics professional to join us and help us build the next big analytical thin You will lead a team of data scientists and engineers, build and grow the Labs program, and have an impact on the products
Requirements:
dvanced degree (MA/MS. C. or higher) in Computer Science / data Science/Statistics/ Engineering/ Economics or any related quantitative field with a focus on data analysis, applied statistics, Machine Learning / deep learning At least 8 years of practical experience as a researcher with significant business experience At least 5?years of experience managing highly qualified data Scientists/Analytics professionals 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 building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.) Proficiency in Python and Scala Strong technical and technological background with good familiarity with a wide range of ML /AI & Big Data tools/solutions/platforms with a 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
dvanced degree (MA/MS. C. or higher) in Computer Science / data Science/Statistics/ Engineering/ Economics or any related quantitative field with a focus on data analysis, applied statistics, Machine Learning / deep learning At least 8 years of practical experience as a researcher with significant business experience At least 5?years of experience managing highly qualified data Scientists/Analytics professionals 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 building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.) Proficiency in Python and Scala Strong technical and technological background with good familiarity with a wide range of ML /AI & Big Data tools/solutions/platforms with a 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
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
משרות נוספות מומלצות עבורך
-
Data Science Team Lead עבור חברה באזור המרכז
-
חולון
SQLink
-
-
data Science team lead עבור חברה באזור המרכז
-
תל אביב - יפו
SQLink
-
-
ראש צוות DATA SCIENTISTS
-
פתח תקווה
G-Stat
-
-
ראש צוות DATA SCIENTISTS- עובד.ת חברה מהיום הראשון
-
רמת גן
- חסוי -
-
-
Data Science Team Lead
-
תל אביב - יפו
Riskified
-
-
Lead Data Scientist
-
מיקום לא צוין
Megayeset
-
