You will take part in the development and improvement of new features and algorithms for our SaaS applications, working together with a senior data scientist who will support you in your progression.
If you love developing extremely accurate forecast that model highly non-stationary time series such as passenger travel demand, while using a mixture of proven traditional model based methods (e.g. ARIMA models, spline methods) as well as the recent breakthroughs in Deep Learning for regression problems, you have just found your dream job!

Your main responsibilities will be to:

• Write cutting-edge supply-demand algorithms in order to solve the following problems:

  • Craft passenger demand predictions
  • Provide confidence intervals
  • Develop clustering to find accurate products’ references in our historical databases
• Translate your clients requirements into simple yet efficient statistical methods
• Clean and extract features from highly structured datasets
• Develop analytics and AB testing tools to help us continuously improving our models

Our stack:

• Tensorflow / Keras
• Python, SQLAlchemy, Celery, Flask
• ElasticSearch, Postgresql

You will be a great fit for Wiremind if you:

• Have 2+ years of industry experience working as a Data Scientist, Statistician or another quantitative job or a PhD in a quantitative field (Machine Learning/ Applied Mathematics/ Computer Science)
• Have a strong theoretical background in time series forecasting
• Have 2+ years of coding experience with Python
• Love to stay updated with the latest and trendiest machine learning methods
• Are passionate about building quick and efficient proof of concepts
• Have experience using version control tools (i.e. Git)
• Are autonomous, rigorous and highly motivated
• Are proactive, curious and committed
• Like to write clean and production-ready code

Bonus points if you:

• Master the deep learning libraries Tensorflow and Keras
• Have experience in time series analysis and modelling of non-stationary series
• Know ElasticSearch, SQLAlchemy and Postgresql

The recruiting process in 4 steps:

• An introductory phone call
• A technical interview
• A machine learning mini-project of one of our recent problems
• An HR interview to assess how your personality and values fit the role

The Wiremind method:

• An awesome office in the center of Paris (station Etienne Marcel)
• A great health insurance policy
• Tickets restaurants provided
• Competitive salary according to your profile (background, previous experiences…)