Senior Product Data Scientist (Analyst)

<p><span style=";">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=";">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=";">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=";"><strong>Our employees in Poland are employed under a contract of employment.</strong></span></p> <p><span style=";"><strong>What you’ll achieve</strong><strong><br></strong></span></p> <ul> <li style=";"><span style=";">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>&nbsp;</strong>team.</span></li> <li style=";"><span style=";">Proactively take on Analyses and develop compelling narratives that inform product strategy and influence business &amp; roadmap decisions.</span></li> <li style=";"><span style=";">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=";"><span style=";">Building<strong> dashboards</strong> to highlight impact potential and other areas of opportunities.</span></li> <li style=";"><span style=";">Communicating effectively and presenting to both technical and non-technical audiences.</span></li> <li style=";"><span style=";"><strong>Establishing</strong> the Data Science presence in a new office and providing mentorship as the office grows.&nbsp;</span></li> </ul> <p><span style=";"><strong>About you</strong></span></p> <ul> <li style=";"><span style=";">Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience</span></li> <li style=";"><span style=";">7+ years of experience in&nbsp;<strong>applying data science techniques</strong> to drive technical product development and decision-making</span></li> <li style=";"><span style=";">Strong technical background in statistics, math, computer science, information science, or another quantitative field</span></li> <li style=";"><span style=";">Fluency in at least one data processing and <strong>programming language</strong> (e.g. Python, R), relational data modeling and <strong>SQL</strong>, familiarity with distributed data processing systems (e.g. Spark, Redshift)</span></li> <li style=";"><span style=";">Expertise in<strong> statistical methods and experimental design and analysis</strong></span></li> <li style=";"><span style=";">Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning</span></li> <li style=";"><span style=";">Excellent written and verbal <strong>communication</strong> skills</span></li> <li style=";"><span style=";">Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations</span></li> <li style=";"><span style=";">Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making</span></li> </ul> <p><span style=";">At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.</span></p> <p><span style=";"><strong>What we’ll offer</strong></span></p> <ul> <li style=";"><span style=";">Generous, transparent and fair compensation system</span></li> <li style=";"><span style=";">Contract of Employment (<strong>and the option of </strong>&nbsp;<strong>50% tax deductible costs for author’s rights usage in respect of&nbsp; applicable roles )&nbsp;</strong></span></li> <li style=";"><span style=";">Health insurance with dental and travel coverage (Lux Med)&nbsp;</span></li> <li style=";"><span style=";">Lunch catering on the days that you work from the office</span></li> <li style=";"><span style=";">Career growth budget&nbsp;</span></li> <li style=";"><span style=";">Home office setup budget&nbsp;</span></li> <li style=";"><span style=";">Gym/Fitness reimbursement</span></li> <li style=";"><span style=";">Fertility healthcare and family-forming support with <a href="https://www.get-carrot.com/">Carrot</a></span></li> <li style=";"><span style=";">Mental health support in Modern Health</span></li> <li style=";"><span style=";">Group life insurance</span></li> <li style=";"><span style=";">MacBooks with all necessary accessories</span></li> </ul> <p><span style=";">For this role, the estimated base salary range is between 24,960 PLN - 31,937 PLN gross per month (subject to all taxes and necessary deductions) . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.</span></p> <p><span style=";">In addition to base salary, your compensation package may include additional components such as equity and&nbsp; sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.</span></p> <p><span style=";">#LI-Hybrid #LI-AZ</span></p><div class="content-conclusion"><p><strong>About us</strong></p> <p data-pm-slice="1 1 []">Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.</p> <p data-pm-slice="1 1 []"><strong><a class="LinkThemeablePresentation LinkPrimaryPresentation LinkPrimaryPresentation--sentimentSelected PrimaryLink HighlightSol HighlightSol--core HighlightSol--buildingBlock" href="https://www.gem.com/form?formID=fbcdec8c-3442-43b9-9b45-d2b5f4ea25db" target="_blank">Join Asana’s Talent Network</a></strong>&nbsp;to stay up to date on job opportunities and life at Asana.</p></div>