Data Science Expert

3 dni temu

Warszawa, Mazovia, Polska Asana Pełny etat

**Job Overview:**

As a Senior Data Scientist at Asana, you will play a crucial role in helping us achieve our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. You will leverage experimentation, causal inference, statistical and machine learning techniques, and data storytelling to deepen our understanding of customers and drive more business outcomes.

**Key Responsibilities:

  • Design and analyze experiments to ship impactful product changes that help customers quickly find what they need on Asana, specifically for our Reporting and Portfolios team.
  • Proactively take on analyses and develop compelling narratives that inform product strategy and influence business & roadmap decisions.
  • Define and add 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.
  • Build dashboards to highlight impact potential and other areas of opportunities.
  • Communicate effectively and present to both technical and non-technical audiences.

**Requirements:

  • Bachelor's Degree in Math, Statistics, Economics, Computer Science, Engineering, or a related quantitative field, or equivalent experience.
  • 4+ 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.

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