Data Scientist
Product
Updated on 2/13/2024
Figma

1,001-5,000 employees

Web-based collaborative platform for product design
Company Overview
Figma stands out as an exemplary workplace due to its commitment to fostering a collaborative culture, its unique competitive advantage in consolidating design tools and workflows, and its industry leadership in web-based design platforms. The company's technical innovation is evident in products like FigJam, an online whiteboard that enhances team collaboration, demonstrating their dedication to improving efficiency and communication in product development. Figma's ability to simplify complex processes and facilitate teamwork across different time zones positions it as a leader in the design industry, making it an exciting and rewarding place to work.

Company Stage

N/A

Total Funding

$333.4M

Founded

2012

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

2%

1 year growth

9%

2 year growth

73%
Locations
Seattle, WA, USA • San Francisco, CA, USA • Remote in USA • New York, NY...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
Python
Sales
Data Science
R
Data Structures & Algorithms
SQL
Marketing
Apache Hive
Data Analysis
Snowflake
CategoriesNew
Data & Analytics
Requirements
  • 3+ years relevant work experience supporting a Product offering by way of data insights
  • Fluency in SQL
  • Proficiency in Python, R or similar scripting language
  • Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)
  • Prior experience in applying statistical methods to experiment design
  • Proven track record of excellent judgment and creative problem solving skills on short and long term projects
  • Experience communicating and working across functions to proactively drive solutions
Responsibilities
  • Leverage various data science methods such as machine learning, statistical modeling, and causal inference to understand user behavior and optimize the product experience
  • Design and evaluate experiments to measure improvements to UI and algorithms
  • Generate ideas to creatively leverage data for shaping future product roadmaps
  • Drive democratization of data through creation of new datasets and tooling
  • Design and surface metrics to guide decision making
  • Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing