About RetailSonar

RetailSonar, a rapidly expanding SAAS company, specializes in geomarketing solutions tailored for large retail and service companies. With established offices in four countries (Belgium, The Netherlands, France, and Germany), RetailSonar is strategically positioned for further growth on its path towards European market leadership. Beyond our technological prowess, we take pride in fostering a collaborative and innovative work environment, making RetailSonar not just a leader in the industry but also a great place to work. In line with our ambitious expansion plans, we are actively seeking a talented Data Scientist to join our dynamic team in Ghent. 

The past years, we have developed algorithms to turn large scale GPS location data into customer behavior analytics. We process around 100 GPS signals per person per day for a portion of the Western European population! We are looking for a motivated machine learning engineer to build and improve machine learning models on top of these data. In this position you will be working on our core technology and bringing this to the next level. If you are interested in Big Data, Econometrics and economics and have great mathematical skills that translate into a talent for developing well working algorithms, you might be exactly what we need.

Your main responsibilities

• Develop innovative machine learning algorithms in the field of customer behaviour analysis from a variety of data sources.
• Bring these algorithms to production, and take care of quality monitoring
• Assist our consultants with advice and technical and economical expertise in how to adapt the algorithms in commercial projects.
• Under supervision of our Expert data scientist, become a modelling expert in retail turnover forecast models.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Understand the company’s goals and challenges and plan AI strategies
• Maintain our current data sets and automate maintenance as far as possible

What you need to be successful in the position

• Have a Master’s degree in economics, business engineering, computer science or other with a specialisation in data science or big data. Understanding of economical concepts is a must.
• A mathematical mindset is a strong plus.
• Have a minimum of 3 years of relevant experience in AI or machine learning.
• Have experience with cloud-based data stores (Snowflake, Redshift or similar), SQL, PostgreSQL.
• Talk python (geopandas, jupiter notebooks, scikit-learn) in a robust manner
• Have experience in processing billion row sized data sets using cloud computing (apache spark, airflow).
• Are not afraid of diving into legacy code, and port it to today's standards.
• Commit to work, and get the job done.
• Work precisely and uphold a high-quality standard.
• You are fluent in English (Dutch is a strong plus) and are not afraid to talk to different stakeholders within or outside the company. You can easily adjust your communication style and translate technical jargon into understandable pieces of information.
• You are just as comfortable working autonomously (without trapping yourself in a rabbit hole) as you are working in team and aligning all stakeholders.

Why come to RetailSonar?

• A varied position with strong impact on the business, in a particularly innovative and extremely exciting field within retail: geomarketing & customer intelligence.
• A competitive salary package that is topped off every semester by a team bonus and individual bonus that encourage you to get the most out of yourself and your team.
• The opportunity to be part of a young, close-knit and highly driven international team that enthusiastically builds successful, ground-breaking solutions.
• A committed and personal organisation that values a good work-life balance.
• A very personal coaching program that offers you ample opportunity to further explore your own interests.

Interested to take the next step?

Send your CV and resume to ine.eeckman@retailsonar.com