Senior Data Scientist
Posted on 4/4/2024
Asana

1,001-5,000 employees

Team collaboration & work management platform
Company Overview
Asana's mission is to help humanity thrive by enabling the world's teams to work together effortlessly. The company builds collaborative tools for enterprise teams.

Company Stage

Series E

Total Funding

$413.2M

Founded

2008

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

13%

1 year growth

30%

2 year growth

46%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
R
SQL
Data Analysis
CategoriesNew
Data Management
Data Science
Data & Analytics
Requirements
  • Degree in a quantitative field like Computer Science, Mathematics, Statistics, Engineering, or related
  • Minimum 3 years of experience in a fast-paced environment in product analytics/data science
  • Experience collaborating with Product, Engineering, Design, and UXR driving key strategic / tactical decisions using data
  • Experience with online experimentation, causal inference, and machine learning to solve and optimize critical business problems and metrics
  • Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala)
Responsibilities
  • Develop deep understanding of customers' pain points; scope and execute on strategic analysis that reveals high impact strategic opportunities and product directions
  • Communicate and influence key product decisions using data
  • Design experiments that measure product progress, and own key performance metrics
  • Design and apply causal inference methods to measure product progress and metric movements
  • Seek opportunities to solve customer pain via AI and machine learning models
  • Collaborate with cross-functional teams to identify data needs and develop tailored datasets to support various analytical needs
  • Collaborate with other data scientists on the team to research, identify and disseminate best practices across teams