At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite th…
Data Scientist
The Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things.
As a Data Scientist at Asana, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Product and Business teams to understand their goals and proactively inform their direction with data. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowing in our pipelines
This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.
We offer a Contract of Employment (UoP) for our employees in Poland.
What you’ll achieve
Design and analyze experiments to measure the impact of new product features.
Investigate high-level questions like “What are the collaborative patterns of the most successful teams using Asana?”
Add new metrics and aggregations to our data warehouse to make new classes of questions answerable.
Build models to predict the growth trajectory of different customer segments.
Partner with cross-functional stakeholders across engineering, product management, and business teams to drive data-informed decision-making.
About you
Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equiv
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
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