Responsibilities:
• Research, design and implement data-intensive algorithms that require to be scalable and high-performing. Examples of research topics include real-time conversion prediction, realtime pricing algorithm, online linear optimization, experimental design, natural language processing, recommender systems, reinforcement learning, deep learning, etc.
• Crunch vast amounts of structured and unstructured data (related to past bid requests, realtime customer activity, app store data, product catalogs, etc.) in order to extract valuable insights and to identify new product opportunities and model improvements
• In collaboration with software developers and data engineers, deploy the models in production and monitor the performance
• Mentor team members, provide expertise on the algorithmic approach and inspure scientific rigor to the entire organization
Requirements:
• Master`s degree or Phd in a quantitative field with emphasis on applied mathematics, statistics or machine learning
• Excellent analytical skills and strong knowledge of probability, statistics, optimization and machine learning
• Experience with applied research and designing out-of-the-box models • Strong programming skills with languages such as Python, R, Scala, and skillset in SQL
• Experience in working with distributed systems
• Knowledge about deep learning framework (TensorFlow, Keras, etc.)
• Creative, pragmatic and proactive
• Loves teamwork and has great communication skills
Conditions:
• Office located avenue de l`Opera
• Remote working possible (1 day / week)
• Participation in scientific conferences
• Annual seminar in Europe
Are you passionate about your work and want to pursue your dreams? Join the ZiMAD team, and let’s collaborate to create exceptional...
Apply For This JobOur client – a game development studio is known for its work in various genres, including fighting games, sports games,...
Apply For This Job