Data Scientist, MyTraffic

• We are looking for a Data Scientist ((at least 2 years excluding internships) passionate about finding, processing and modelling data to solve real world problems
• BS or MS in degree in Computer Science, Engineering, Mathematics, Statistics, Physics or a related field. The candidate should have a solid foundation in the relevant technical concepts and principles
• You have the ability to approach complex problems with analytical capabilities andcritical thinking skills, enjoy facing challenging problems, and are able to apply logicalreasoning to find solutions
• Proficiency in Python programming, including the ability to write functions andclasses. You must be comfortable using Python as your primary programminglanguage and be willing to learn and apply additional patterns and best practices
• Experience in analyzing data using Python and common libraries such asPandas and Scikit-learn
• You have an excellent understanding of machine learning techniques and algorithms,such as k-NN, SVM, Decision Trees, Random Forests, XGBoost, etc., although youare aware that the best solution sometimes is the simplest, and you know when touse one or another solution
• A good understanding of statistics, including probability theory and common statistical tests
• Experience with SQL queries, an understanding of different types of joins and the ability to retrieve and manipulate data from relational databases effectively
• Experience working on projects involving data analysis
• Familiarity with Linux systems and comfort working through the command line. Thismeans being able to navigate and perform tasks using the command line interface
• Excellent written and verbal communication skills, particularly the ability to explaincomplex analyses to non-technical audiences (stakeholders and clients) in Spanishand English
• Ability to find a balance between real-life constraints (e.g.,deadlines, available data) and desired outcomes (e.g., accuracy, overdelivery)
• Passionate about what you do. You care deeply about the things you build

Desirable

• As a Data Scientist at Mytraffic you will be part of a team called Predictive Analytics, responsible for answering business questions vital to our clients, based on data
• Design, develop, monitor and maintain a wide range of explanatory and predictivemodels and integrate them into the production environment so users can makepredictions in real time
• Analyze the most extensive and complete spatial database to understand a wide range of industries (retail, real-state, fmcg, e-mobility) consumer's behaviour patterns, etc
• Load & Extract data from our datalakes and databases to support clients or build reports
• Work closely with the rest of the team including Business profiles, the CustomerSuccess team, and other Data Scientists and Software Engineers to understandeveryone’s needs and develop optimal solutions
• You would be one of the main points of reference for clients to,given a business problem, figure out how to solve it with the existing datasets, or how to findout those which could be useful to complement the existing ones
• Our dataset streams come from both internal data (coming directly from our customers fortheir own use) and external data (retrieved, cleaned and prepared internally at Mytraffic fromseveral sources), which are used to deliver analyses and insights allowing our customers tounderstand their current and past business situation (descriptive analytics), providing themwith models and tools to be able to predict the impact and effects of potential businessactions and decisions (predictive analytics) and, at a higher level, recommend them which ofthose actions and decisions should be taken to maximise their final revenue (prescriptiveanalytics)
• To do so we rely heavily on Python, and more precisely, on three different types oftechnology: data management and analysis tools (e.g. Pandas, Matplotlib, Seaborn,Plotnine, Jupyter...), machine learning frameworks (e.g. scikit-learn, LIME...) and softwaredevelopment oriented libraries (e.g. Flask, Pytest..)

• 30 min talk with Adèle, our Talent Acquisition
• 30 min with your future Manager, Clara
• Technical Test with 2 members of the team
• 45 min Values Ambassador with 2 employees of Mytraffic
• An interview with Antoine, Head of Professional Services