Senior Product Data Scientist (Analyst)
AsanaWarsawPosted 24 February 2026
Job Description
<p><span style="font-family: arial, helvetica, sans-serif;">Asana's <strong>Data Science</strong> 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.</span></p>
<p><span style="font-family: arial, helvetica, sans-serif;">The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in building the product or business strategy, defining and measuring success metrics, learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and also other members of the Data team. We leverage experimentation, statistical modeling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value.</span></p>
<p><span style="font-family: arial, helvetica, sans-serif;">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.</span></p>
<p><span style="font-family: arial, helvetica, sans-serif;"><strong>Our employees in Poland are employed under a contract of employment.</strong></span></p>
<p><span style="font-family: arial, helvetica, sans-serif;"><strong>What you’ll achieve</strong><strong><br></strong></span></p>
<ul>
<li style="font-family: arial, helvetica, sans-serif;"><span style="font-family: arial, helvetica, sans-serif;">Design and analyze experiments and causal analysis to ship impactful product changes that help customers quickly find what they need on Asana, specifically for our Mobile<strong> </strong>team.</span></li>
<li style="font-family: arial, helvetica, sans-serif;"><span style="font-family: arial, helvetica, sans-serif;">Proactively take on Analyses and develop compelling narratives that inform product strategy and influence business roadmap decisions.</span></li>
<li style="font-family: arial, helvetica, sans-serif;"><span style="font-family: arial, helvetica, sans-serif;">Defining and adding new metrics to track success of our enterprise products and aggregate and publish them to our <strong>data warehouse</strong> to help answer all types of questions proactively.</span></li>
<li style="font-family: arial, helvetica, sans-serif;"><span style="font-family: arial, helvetica, sans-serif;">Building<strong> dashboards</strong> to highlight impact potential and other areas of opportunities.</span></li>
<li style="font-family: arial, helvetica, sans-serif;"><span style="font-family: arial, helvetica, sans-serif;">Communicating effectively and presenting to both technical and non-technical audiences.</span></li>
<li style="font-family: arial, helvetica, sans-serif;"><span style="font-family: arial, helvetica, sans-serif;"><strong>Establishing</strong> the Data Science presence in a new office and providing mentorship as the office grows. </span></li>
</ul>
<p><span style="font-family: arial, helvetica, sans-serif;"><strong>About you</strong></span></p>
<ul>
<li style="font-family: arial, helvetica, sans-serif;"><span style="font-family: arial, helvetica, sans-serif;">Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience</span></li>
<li style="font-family: arial, helvetica, sans-serif;"><span style="font-family: arial, helvetica, sans-serif;">7+ years of experience in <strong>applying data science techniques</strong> to drive technical product ... (truncated, view full listing at source)
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