Machine Learning Data Scientist (80% - 100%)

The mission

Are you a talented Machine Learning Data Scientist with a passion for understanding user behaviors and preferences? Do you find thrill in deciphering vast datasets, unearthing patterns, and translating them into actionable insights? We invite you to be a driving force in our team as a Machine Learning Data Scientist, driving insights from user data that will steer the evolution of our platform. This is not just a job; it's an opportunity to revolutionize the way education adapts to its users. Embrace the challenge and be the beacon that guides our educational transformation.

Responsibilities

The Machine Learning Data Scientist will be an integral part of our dynamic start-up team in the Ed-Tech industry. They will drive the development of AI-powered tools to analyze user behavioral and transactional data. The candidate will be at the forefront of creating and optimizing models that ensure innovative and effective learning experiences in line with the curriculum.

Your responsibilities include:

• Data Handling & Model Development:

  
  
  
  

  • Gather, preprocess, and analyze data to understand key patterns and trends.

  
  

  • Develop, train, and test machine learning models to improve content delivery, personalization, and user engagement.

  
  



• Collaboration:

  
  
  
  

  • Work closely with the Product and Content team to understand specific user behavioral data and nuances of the curriculum.

  
  

  • Collaborate with the engineering team to integrate machine learning models into our platform.

  
  



• Evaluation & Optimization:

  
  
  
  

  • Monitor the performance of machine learning models in real-world scenarios.

  
  

  • Continuously refine and optimize models based on feedback and changing requirements.

  
  



• Research & Innovation:

  
  
  
  

  • Stay updated with the latest trends and breakthroughs in machine learning and Ed-Tech.

  
  

  • Propose and test new algorithms or techniques that can improve learning experiences.

  
  



• Documentation:

  
  
  
  

  • Document processes, models, and results for transparency and reproducibility.

  
  

  • Provide actionable insights and recommendations based on data analysis to the product and content teams.

  
  

Requirements

• Education: Master's degree or higher in Computer Science, Data Science, Machine Learning, or a related field.




• Experience: Minimum of 2 years of hands-on experience in building and deploying machine learning models.




• Technical Proficiency: Strong proficiency in Python and its machine learning libraries such as TensorFlow, Keras, or Scikit-learn.




• Data Skills: Expertise in data preprocessing, feature engineering, and data visualization.




• Problem-Solving: Strong analytical and problem-solving skills.




• Communication: Excellent written and verbal communication skills in English.

Nice-To-Haves

• Ed-Tech Experience: Prior experience in the Ed-Tech industry or a deep understanding of educational pedagogies and curriculum.




• Big Data Technologies: Experience with big data technologies like Spark or Hadoop.




• Deployment: Familiarity with deploying machine learning models in real-world, production environments, experience in cloud platforms like AWS, Azure, or GCP is a plus.




• Soft Skills: Ability to work in a fast-paced start-up environment, flexibility to adapt, and a strong team player.




• Multilingual: Proficiency in one or more European languages apart from English.

Offer

• Join an EdTech pioneer that's reshaping the landscape of education.




• Collaborative and inclusive environment that values innovation and diverse perspectives.




• Opportunities for skill development and professional growth.




• Competitive compensation package and comprehensive benefits.




• Become part of a mission-driven team working towards a brighter future.

If you're passionate about harnessing the power of data to revolutionize the field of education, we encourage you to apply. Share your resume and a cover letter detailing your relevant experience and your enthusiasm for our mission. Join us in constructing a data-driven future of learning.

About us