Data Scientist

Are you looking to make a measurable impact for your clients with data science?
Ready to expand your skillset in different tools, methodologies, and across various industries?
Do you have an innate passion for business and entrepreneurial sense while having an interest in the technical aspects of the job?

🎯 What is your mission?

Help innovative companies thrive in turning their objectives into results, through smarter use of data.

✅ More concretely, what will you do day-to-day?

As a Data Scientist, you will play a vital role in the end-to-end delivery of our projects.

Therefore, you will work closely with stakeholders to:

• Prioritize business requirements
• Manage data collection
• Analyze results
• Provide reports
• Model data
• Interpret trends and patterns
• Communicate the results and next steps effectively with clients

Our assignments include:

• Data audit
• Data preparation
• Descriptive analysis
• Modeling
• Presenting the results

Senior Data Scientists supervise and coach junior Data Scientists in delivering their projects and on internal tasks. This guidance is to help junior Data Scientists acquire the business and technical skills to manage their projects quickly.

Requirements

👤 Do you recognize yourself?

🎓 Your Background

• You have a master’s in Management/Economics, Engineering, Mathematics, Physics, Biology, or similar - There is no standard study background for data
• You are fluent in English and either in Dutch OR French

💼 Your Professional Skills

• You have good knowledge and demonstrable experience with ETL and statistical packages (SAS, SPSS, R, Python, Spark). Knowledge of programming languages such as Javascript, Spark, S, C is a plus.
• You have technical expertise in data preparation, data models, data mining, and segmentation.

🤓 Your Personal Skills

• You have strong analytical skills to collect, organize, analyze, and interpret large amounts of data to underline the relevant information regarding a specific business objective.
• You have a problem-solving mindset; you take a pragmatic approach regarding data science and seek out the simple solution.

⚠️ Must Have

• You are eligible to work in Belgium and the European Union (please be aware that we do not offer relocation support)

🤗 You will be a great fit if -

• You want to be among the first employees to help us shape our organization and grow in the future.
• You have a natural care about work quality, showing a professional attitude and passion for service. You are proactive, autonomous, and like to take initiative.
• You can confidently interact and communicate at all levels, from the front-line staff to the executive team, with data experts and non-experts alike.
• You are curious about new techniques and tools and strive always to keep learning.

🙅‍♀️ Some signs this may not be the right fit -

• If you don't like to interact with customers or do presentations from time to time. All our Data Scientists are client-facing.
• If you are not comfortable working at the client’s premises (on average 2-3 days a week) and from our offices in Brussels (on average 1-2 days a week).
• If you don’t have an entrepreneurial mindset and aren’t ready to go the extra mile to deliver quality work or contribute to an organization’s growth.

Benefits

💜 Working at Agilytic

We aim at creating a work environment that allows you to do exceptional work, grow your skillset and, most importantly, be happy while doing it.

You may work on assignments anywhere in Belgium and neighboring countries like Luxembourg, France, the Netherlands, and the UK. You can expect to interact with IT/data specialists and business executives (marketing, process, customer care).

We believe that data is a means to an end and not an end in itself. We don’t use cutting-edge techniques when not suited to the problem we need to solve. We adapt to what the client truly needs, even if it might look less appealing from a technical perspective. For instance, we won't train a neural network predicting marketing performance based on 1000 variables if a simple dashboard showing marketing efficiency across a few dimensions answers the customer’s question. All our missions are about data, and so far, approximately 50% of them haven’t required any machine learning.

Salary and benefits

• 💰 Competitive remuneration package: We offer a competitive remuneration package, a cafeteria plan in which you can allocate your variable remuneration to your preferred advantages (extra days off, electronics... and cash of course)
• 🏋️ Training roadmap: We will draft together a training roadmap, taking into consideration our internal competencies as well as your interests.
• 🤝 Supportive structure and transparency: What we don’t have in scale (yet), we’ll make it up with flexibility, support, and transparency. We will be there for you every step of the way, with individual coaching and career roadmapping.
• 🧰 Modern tools: Tools are a means to an end. We want them to help you do your best work, not become a bottleneck. That’s why you can expect up-to-date hardware and software tools so that you (hopefully) never have to swear at your computer.
• 🥂 Oh, and a little bit of fun too: We take our work very seriously, but we’re not afraid to laugh at ourselves. Life is too short.