About the role
Asana's 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.
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.
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.
Our employees in Poland are employed under a contract of employment.
What you’ll achieve
- 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 team.
- Proactively take on Analyses and develop compelling narratives that inform product strategy and influence business & roadmap decisions.
- Defining and adding new metrics to track success of our enterprise products and aggregate and publish them to our data warehouse to help answer all types of questions proactively.
- Building dashboards to highlight impact potential and other areas of opportunities.
- Communicating effectively and presenting to both technical and non-technical audiences.
- Establishing the Data Science presence in a new office and providing mentorship as the office grows.
About you
- Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience
- 7+ years of experience in applying data science techniques to drive technical product development and decision-making
- Strong technical background in statistics, math, computer science, information science, or another quantitative field