Data Scientist at Asana

<p data-path-to-node="0"><strong data-path-to-node="0" data-index-in-node="0">Data Scientist</strong></p> <p id="p-rc_6c5b9baf5863e103-273" data-path-to-node="1"><span data-path-to-node="1,0">The Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value</span><span data-path-to-node="1,2">. 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><span data-path-to-node="1,4">. We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things.</span></p> <p id="p-rc_6c5b9baf5863e103-292" data-path-to-node="2">As<span class="citation-2501"> a Data Scientist at Asana, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Pro</span><span class="citation-2500 citation-2501 citation-end-2501">duct and Business teams to understand their goals and proactively inform their direction with data. You’ll keep </span><span class="citation-2500 citation-end-2500">taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowin</span>g in our pipelines</p> <p id="p-rc_6c5b9baf5863e103-274" data-path-to-node="3"><span data-path-to-node="3,0">This role is based in our Warsaw office with an office-centric hybrid schedule</span><span data-path-to-node="3,2">. The standard in-office days are Monday, Tuesday, and Thursday</span><span data-path-to-node="3,4">. Most Asanas have the option to work from home on Wednesdays</span><span data-path-to-node="3,6">. 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><span data-path-to-node="3,8">.</span></p> <p id="p-rc_6c5b9baf5863e103-275" data-path-to-node="4"><span data-path-to-node="4,0">We offer a Contract of Employment (UoP) for our employees in Poland</span><span data-path-to-node="4,2">.</span></p> <p data-path-to-node="5"><strong>What you’ll achieve</strong></p> <ul data-path-to-node="6"> <li> <p data-path-to-node="6,0,0">Design and analyze experiments to measure the impact of new product features.</p> </li> <li> <p data-path-to-node="6,1,0">Investigate high-level questions like “What are the collaborative patterns of the most successful teams using Asana?”</p> </li> <li> <p data-path-to-node="6,2,0">Add new metrics and aggregations to our data warehouse to make new classes of questions answerable.</p> </li> <li> <p data-path-to-node="6,3,0">Build models to predict the growth trajectory of different customer segments.</p> </li> <li> <p data-path-to-node="6,4,0">Partner with cross-functional stakeholders across engineering, product management, and business teams to drive data-informed decision-making.</p> </li> </ul> <p data-path-to-node="7"><strong>About you</strong></p> <ul data-path-to-node="8"> <li> <p data-path-to-node="8,0,0">Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent practical experience.</p> </li> <li> <p data-path-to-node="8,1,0">3+ years of experience in applying data science techniques to drive technical product development and decision-making.</p> </li> <li> <p data-path-to-node="8,2,0">Strong technical background in statistics, mathematics, information science, or another heavily quantitative field.</p> </li> <li> <p data-path-to-node="8,3,0">Fluency in at least one modern language useful for data processing (such as Python or Scala).</p> </li> <li> <p data-path-to-node="8,4,0">Proficiency with relational data modeling and SQL.</p> </li> <li> <p data-path-to-node="8,5,0">Expertise in statistical methods and experimental design and analysis.</p> </li> <li> <p data-path-to-node="8,6,0">Experience with measurement techn

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