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Data Scientist

Closing: May 18, 2024

This position has expired

Published: May 3, 2024 (23 days ago)

Job Requirements

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Work experience:

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Job Summary

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Qualifications
  • Master’s Degree in Computer Science, Data Science, Statistics, Big Data, or related fields
  • At least 4 years’ significant experience in the field, preferably in a SaaS company.
  • Expertise in Machine Learning algorithms and programming languages such as Python and Java.
  • Knowledge of data management tools and databases.
  • Expertise in web analysis.
  • Analytical skills, enabling him/her to identify and understand the company’s business issues.
  • Rigorous, organized and laser focus.
  • Excellent communication skills, enabling him/her to make his/her work intelligible to as many people as possible and to convince decision-makers.
  • Excellent analytical and problem-solving skills.
  • Ability to communicate complex results effectively to non-technical audiences.
  • Excellent communication skills.
Responsibilities
Qualifications
  • Master’s Degree in Computer Science, Data Science, Statistics, Big Data, or related fields
  • At least 4 years’ significant experience in the field, preferably in a SaaS company.
  • Expertise in Machine Learning algorithms and programming languages such as Python and Java.
  • Knowledge of data management tools and databases.
  • Expertise in web analysis.
  • Analytical skills, enabling him/her to identify and understand the company’s business issues.
  • Rigorous, organized and laser focus.
  • Excellent communication skills, enabling him/her to make his/her work intelligible to as many people as possible and to convince decision-makers.
  • Excellent analytical and problem-solving skills.
  • Ability to communicate complex results effectively to non-technical audiences.
  • Excellent communication skills.

Job Description

  • We are looking for a motivated and skilled Data Scientist.
  • This position is crucial for analyzing complex data sets, deriving meaningful insights and supporting the company’s strategic decisions.

Duties

  • Exploit and interpret data.
  • Translate business problems into mathematical and statistical ones, in order to provide reports to guide management decision-making.
  • Improve performance and marketing strategies using data.
  • Use machine learning techniques to predict future trends and optimize strategies across our business units.
  • Ensure data quality and integrity, including data cleansing, preparation and exploration.
  • Keep up to date with the latest technologies and techniques in data science and machine learning.
  • Identification of analysis tools.
  • Management of data storage solutions
  • Gathering and analyzing business-relevant data
  • Building algorithms to improve search and targeting results
  • Development of predictive models to anticipate changes in data and trends
  • Creation of customized dashboards to make results readable and exploitable by all business functions
  • Technology watch (data collection, processing platforms, experimentation).
  • Collaborate with different departments to understand their data needs and provide data-driven solutions.
  • Present complex results in an understandable way to facilitate data-driven decisions.
  • Coordinate actions with the various business teams to ensure optimum customer satisfaction.

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