RESPONSIBILITIES:

• Analyze user requirements and translate them into a Data Science problem
• Develop production-ready solutions:
  • machine learning models (clustering, classification, regression, anomaly detection, forecasting,… you name it)
  • reports (visualizations, interactive dashboards,…)
• Intensive research of applied machine learning
• Communicating insights obtained from the analysis
• Work in a collaborative environment for our highly valued customers
• Work with other data engineers, data scientists and data visualization specialists.
• Deliver clean, portable, and well-documented code with Python and SQL.
• Grow both technically and professionally in a fast-paced environment

REQUIREMENTS:

• Python programming skills (knowledge of these libraries is a plus: pandas, numpy, matplotlib, sklearn, keras,…)
• Data wrangling skills (knowledge of databases, DDL, DML, ETL)
• Analytical skills:
  • statistics & exploration
  • methodological approach
  • critical thinking
  • focus on the business area of a specific project domain
• Understanding of software development and programming languages
• Ability to work on projects with tight deadlines, being able to switch rapidly between projects
• Fluency in English
• Excellent written and verbal communication skills
• Strong work ethic, willingness to learn and contribute
• Ability to quickly adopt new technologies
• Good team-working skills
• Work experience is desirable, but not mandatory

BONUS POINTS:

• Experience with the following libraries: Pandas, sqlAlchemy, scikit-learn, Keras
• Hands-on experience with version control tools
• Being comfortable working with Linux environment
• Product development
• Expertise in some of the following industries:
  • Telecommunications
  • Banking / Finance / Insurance
  • Retail
  • Marketing & Media
  • SaaS
  • Supply chain
• Experience with:
  • Docker
  • PyCharm or similar IDEs
  • Google Cloud Platform