Responsibilities:

• Understand business expectations and translate them into technical terms to design and implement metrics using statistical, probabilistic, or machine learning techniques.

• Analyze data to help understand how topics are distributed within corpuses and how they interact together.

• Set up automatic processes for metrics computation, adaptation, and updates.

• Supervise data visualization and participate in product development roadmap with new features and new algorithms development.

• Strong command of English 

• Pursuing a degree in engineering or business with a strong engineering background  

• Experience or coursework in data analysis and statistics  

• Proficiency in Python, specifically mastery of the pandas library, knowledge of the basics of object-oriented programming, and ease with visualization tools (matplotlib and seaborn)  

• Strong understanding of applied mathematics, particularly in statistics and probabilities  

• Knowledge (or willingness to learn) Excel, including managing data, creation, updates, and deletion  

• Knowledge (or willingness to upgrade) in requesting APIs (like keywordFinder, Gephi, and many others to come…) in Python  

• Knowledge of PowerBI is a plus 

• Eagerness to learn new data analysis tools 

• Ability to translate business non-technical requests into mathematical technical requests and implement them

• Strong communication skills to interact with multi-disciplinary profiles such as business, consulting, and design

What we offer: 

Flexible working arrangements:  

• A flexible hybrid approach to work. 

• Work from home (or wherever you do your best work) up to 3 days per week. 

• 2 days per week in the office with colleagues (depending on your location). 

• Access to WeWork offices worldwide.  

An international, diverse, and inclusive work environment:  

• join a team that already boasts 12 nationalities and counting.  

• Regular team building activities 

• Company-wide events locally and abroad (our last was in Copenhagen). 

Continuous learning and development: 

• A culture that supports career growth and well-being, guided by mentors, managers, and peers.  

• Access to annual training and development resources. 

• Collaborate with world-renowned AI experts from institutions like Carnegie Mellon, MIT, and France’s École Polytechnique, who serve as advisors for the product you’ll be working on and are at the forefront of shaping AI’s future.