Senior Product Data Scientist (analyst)

Asana Asana · Enterprise · Warsaw, Poland · Product Data

Asana is seeking a Senior Product Data Scientist (Analyst) to join their Data Science team. This role will focus on informing strategy, defining success metrics, and identifying new ways to deliver user value by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. The data scientist will partner closely with Product, Business, Design, and Engineering teams to deepen understanding of Asana customers and drive business outcomes. Key responsibilities include designing and analyzing experiments, developing narratives for product strategy, defining and tracking enterprise product success metrics, building dashboards, and establishing the Data Science presence in a new office.

What you'd actually do

  1. 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.
  2. Proactively take on Analyses and develop compelling narratives that inform product strategy and influence business & roadmap decisions.
  3. 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.
  4. Building** dashboards** to highlight impact potential and other areas of opportunities.
  5. Communicating effectively and presenting to both technical and non-technical audiences.

Skills

Required

  • 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
  • Fluency in at least one data processing and programming language (e.g. Python, R), relational data modeling and SQL, familiarity with distributed data processing systems (e.g. Spark, Redshift)
  • Expertise in statistical methods and experimental design and analysis
  • Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning
  • Excellent written and verbal communication skills
  • Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations

Nice to have

  • Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

What the JD emphasized

  • applying data science techniques
  • programming language
  • SQL
  • statistical methods and experimental design and analysis
  • communication