DataLouna builds proprietary statistics and analytics products for CS2 and Dota 2. We operate within a major esports ecosystem, working on the data behind product decisions in professional esports.
We collect data from a wide range of sources: APIs, live sources, demo files, match data, and open sources. That data has to be parsed, normalized, validated, and linked together before it can power our own statistics, unique lines, and product analytics.
We are a small team, so engineers here get real autonomy, influence over architecture, and ownership of the result.
Rating Reviews
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Pros: I appreciated the exposure to diverse datasets and the opportunity to work on challenging data science problems. The team was collaborative, and there was a genuine willingness among colleagues to share knowledge and help each other out. My manager was generally supportive, and I felt I learned a lot technically during my tenure, especially in machine learning model development. The remote work setup was also a big plus.
Cons: While learning opportunities are present, structured career progression can feel a bit vague. It sometimes felt like you had to actively seek out advancement rather than it being clearly laid out. Project priorities could shift abruptly, leading to occasional crunch times, which impacts work-life balance. More consistent feedback loops on long-term career goals would be beneficial.
Advice to Management: Consider formalizing career pathing frameworks and offering more proactive mentorship for advancement. Clearer communication on project roadmaps and potential shifts would also help manage workload expectations.
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What is the typical salary range for a data scientist at DataLouna, and do they offer good benefits?
Based on my experience as a data scientist in the tech industry in Paris, salaries at DataLouna are competitive, generally falling between €50k-€70k for mid-level roles, with strong health insurance and a generous pension plan included as part of their benefits package.
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