Our client empowers others to be at their best. As a business, their software product allows revenue teams to engage buyers through industry-leading training and coaching software as well as innovative sales content and engagement solutions. They provide sales and marketing with the software and support they need to enable their teams, drive more revenue and deliver incredible buying experiences. 

Founded in 2011 in Belgium, our client is a team of more than 400 people working from their headquarters in Belgium and Chicago or regional offices in London, Munich, San Francisco and Wroclaw.

As an employer who understands the importance of diversity, we are committed to proudly representing the various identities of the communities in which we work and the clients that we serve. We have been recognized as a top workplace by Built In Chicago, Built In San Francisco and Inc. Magazine,  as a top 10 software company in the Inc. 5000 Europe list and won the award for “Most Sustainable Growth Company” by Deloitte Belgium.

The role…

• Manage a team of data scientists, machine learning engineers and big data specialists 
• Lead data mining and collection procedures 
• Ensure data quality and integrity 
• Interpret and analyse data problems 
• Conceive, plan and prioritize data projects 
• Build analytic systems and predictive models 
• Test performance of data-driven products 
• Visualize data and create reports 
• Experiment with new models and techniques 
• Align data projects with organizational goals 

You will have…

• Proven experience as a Data Scientist or similar role 
• Solid understanding of machine learning 
• Experience with cloud platforms such as AWS
• Knowledge of data management and visualization techniques 
• A knack for statistical analysis and predictive modelling 
• Good knowledge of R and/or Python and MATLAB 
• Experience with SQL and NoSQL databases 
• Strong organizational and leadership skills 
• Excellent communication skills 
• A business mind-set 

We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.