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Data Scientist jobs at Global-e in Israel

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Israel
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1 jobs found
24.04.2025
G-

Global-e Data Scientist Israel

Limitless High-tech career opportunities - Expoint
Be responsible for gathering, analyzing, and modeling data from multiple sources, with a focus on deep analysis of B2B activity and utilizing advanced data science techniques. Conducting slice and dice...
Description:

Responsibilities:

  • Be responsible for gathering, analyzing, and modeling data from multiple sources, with a focus on deep analysis of B2B activity and utilizing advanced data science techniques.
  • Conducting slice and dice analysis, uncovering data gems and insights through the mix of markets, enterprises, platforms and funnels.
  • Conduct predictive modeling, utilizing advanced algorithms and techniques, to identify trends, forecast business outcomes, and optimize strategic initiatives.
  • Communicate complex findings effectively through visually appealing data visualizations, charts, and graphs.
  • Support product development decisions and optimization, leveraging advanced data science methodologies to inform and enhance business offerings for B2B customers.
Requirements
  • At least 4+ years’ experience in B2C companies
  • B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background.
  • Strong SQL skills with experience in querying large complex data sets -must have.
  • Experience in working on large-scale ML-based projects, preferably with multiple data scientists
  • Experience with Qlik, Couchbase, BigQuery – a big plus
  • Experience with tools like Matlab/SAS/SPSS/R/Python – Advantage
  • Experience in implementing real-time machine learning and data mining algorithms in large scale environments – a big plus
  • Work experience analyzing large datasets in an Analytics / Product / Monetization centric role- Advantage.
  • Experienced in building predictive models and conducting comparison analysis between complex segments of data.
  • Strong business orientation, curious and passionate about business models and profitability analysis.
  • Proven impact on business results based on data insights, prediction and modeling
  • Excellent communication and presentation skills.
Show more
Limitless High-tech career opportunities - Expoint
Be responsible for gathering, analyzing, and modeling data from multiple sources, with a focus on deep analysis of B2B activity and utilizing advanced data science techniques. Conducting slice and dice...
Description:

Responsibilities:

  • Be responsible for gathering, analyzing, and modeling data from multiple sources, with a focus on deep analysis of B2B activity and utilizing advanced data science techniques.
  • Conducting slice and dice analysis, uncovering data gems and insights through the mix of markets, enterprises, platforms and funnels.
  • Conduct predictive modeling, utilizing advanced algorithms and techniques, to identify trends, forecast business outcomes, and optimize strategic initiatives.
  • Communicate complex findings effectively through visually appealing data visualizations, charts, and graphs.
  • Support product development decisions and optimization, leveraging advanced data science methodologies to inform and enhance business offerings for B2B customers.
Requirements
  • At least 4+ years’ experience in B2C companies
  • B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background.
  • Strong SQL skills with experience in querying large complex data sets -must have.
  • Experience in working on large-scale ML-based projects, preferably with multiple data scientists
  • Experience with Qlik, Couchbase, BigQuery – a big plus
  • Experience with tools like Matlab/SAS/SPSS/R/Python – Advantage
  • Experience in implementing real-time machine learning and data mining algorithms in large scale environments – a big plus
  • Work experience analyzing large datasets in an Analytics / Product / Monetization centric role- Advantage.
  • Experienced in building predictive models and conducting comparison analysis between complex segments of data.
  • Strong business orientation, curious and passionate about business models and profitability analysis.
  • Proven impact on business results based on data insights, prediction and modeling
  • Excellent communication and presentation skills.
Show more
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