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Lead Data Scientist

Il y a 2 mois


Paris, Île-de-France Edtech France Temps plein

Company Overview

EdTech France is a pioneering organization dedicated to enhancing educational experiences through innovative technology solutions. Our mission is to empower educators and students alike by providing tools that facilitate personalized learning and effective teaching methodologies.

Position Summary

As a Lead Data Scientist, you will be instrumental in shaping the future of our educational products. You will collaborate with a dynamic team to leverage data science and machine learning to create impactful features that enhance learning outcomes for students and support teachers in their instructional practices.

Key Responsibilities

  1. Feature Development: Design and implement advanced machine learning models to enhance existing applications and create new functionalities that drive student engagement and learning efficacy.
  2. Data Analysis: Conduct thorough analyses of user data to uncover insights, identify trends, and address complex challenges related to adaptive learning and product optimization.
  3. Data-Driven Insights: Utilize data science methodologies to provide actionable insights that inform product development and strategic decision-making.
  4. Cross-Functional Collaboration: Work closely with product managers, engineers, and designers to integrate data-driven solutions into the product lifecycle.

Qualifications

The ideal candidate will possess:

  1. Experience: A proven track record of 3 to 7 years in data science and machine learning roles, with significant experience in implementing machine learning systems.
  2. Technical Proficiency: Strong skills in Python and familiarity with various machine learning frameworks.
  3. Analytical Skills: A structured and logical approach to problem-solving, with the ability to derive actionable insights from complex data sets.
  4. Collaboration Skills: Experience working effectively in cross-functional teams, demonstrating strong communication and interpersonal abilities.

Preferred Qualifications

  1. Industry Knowledge: Familiarity with the EdTech sector, including current trends and challenges.
  2. Research Background: Experience in publishing research findings or white papers in relevant fields.
  3. Analytical Tools: Proficiency in data analysis tools such as SQL, PowerBI, or Tableau.
  4. Mentorship: Ability to guide and mentor junior data scientists in best practices for model development and data-driven product strategies.

If you are passionate about using data to transform education and have the skills to drive innovation in this space, we encourage you to consider this opportunity.