Director – Data Science
Updated on 12/7/2023
Upwork

10,001+ employees

Global platform connecting businesses with freelance talent
Company Overview
Upwork, as the world's leading work marketplace, serves a diverse range of clients from individual startups to over 30% of Fortune 100 companies, demonstrating its broad appeal and competitive edge. The company's trust-driven platform, which facilitated over $3.3 billion in earnings for its talent community in 2021, showcases its capacity for technical innovation and industry leadership. With a wide array of skill categories, including website & app development, creative & design, and consulting, Upwork fosters a culture that values diversity and enables companies and talent to unlock their potential.
Consulting

Company Stage

N/A

Total Funding

$153.8M

Founded

2015

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

18%

1 year growth

46%

2 year growth

49%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Python
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
  • A strong track record of managing data science teams
  • Experience working with user segmentation, cohort analyses, mix modeling, random forest, regression models, and other advanced techniques
  • Proficiency in Python
  • Previous experience in a two-sided marketplace or ecommerce business
Responsibilities
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Lead a team to develop models that provide insights to help business and product leaders understand marketplace dynamics, customer value, user behaviors, fraud activities, and long-term trends
  • Hire, scale, and develop a team of data scientists
  • Establish robust processes to select models to pursue in partnership with the business, drive follow through, and establish an operating rhythm to revisit and retrain models
  • Collaborate with our machine learning engineering and data platforms teams on tooling and shared feature stores
  • Get hands on to deploy prototype models into production that customize product experiences
  • Evangelize data science techniques within the broader Analytics, Data Science, and Economics team and mentor others seeking to develop more advanced capabilities