Full-Time

Lead Data Scientist

Marketing Mix Modeling

Confirmed live in the last 24 hours

Upwork

Upwork

10,001+ employees

Online platform connecting freelancers and clients

Consulting
Enterprise Software

Compensation Overview

$151k - $177.8kAnnually

+ Bonus + Equity Incentive Program

Senior

Remote in USA

Category
Data Science
Growth Marketing
Data Analysis
Data & Analytics
Growth & Marketing
Required Skills
Python
Data Science
R
SQL
Tableau
Looker
Requirements
  • 4+ years of experience in Marketing Data Science, including in-depth experience with Media Mix Modeling, data-driven attribution, customer lifetime value prediction, and recommender systems.
  • Demonstrable experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • Experience with experimentation/causal inference methods
  • Proficiency in one or multiple BI tools such as Looker, Tableau or equivalent.
  • Previous experience in a marketplace or ecommerce business.
Responsibilities
  • Work with large and complex data sets to build both descriptive and predictive Media Mix Models to measure the impact of marketing efforts and optimize those programs for maximum efficiency.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop and execute strategies for our Marketing team.
  • Define, understand, and test opportunities and levers to improve Marketing efforts, and influence roadmaps through your insights and recommendations.
  • Partner with Marketing, Finance, Engineering, and cross-functional teams to inform, influence, support, and execute Marketing strategy and investment decisions.
  • Tackle complex problems uniquely inherent to our global double-sided work marketplace.

Upwork connects freelancers with clients looking for various services in the gig economy, which focuses on short-term contracts instead of permanent jobs. The platform allows freelancers to create profiles that showcase their skills, while clients can post job listings for specific projects. Freelancers bid on these projects, and clients choose the best candidates based on proposals and reviews. Upwork earns revenue through service fees charged to freelancers based on their earnings, with a tiered structure that rewards long-term client relationships. The platform also offers premium memberships and additional services for enhanced visibility and access to job listings. Upwork provides tools for time tracking, invoicing, and project management, making it easier for both freelancers and clients to manage their work and payments. The goal of Upwork is to facilitate successful project completion by bridging the gap between freelancers and clients.

Company Stage

IPO

Total Funding

$143.8M

Headquarters

San Francisco, California

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • Strategic partnerships with companies like KellyOCG and OpenAI expand Upwork's reach and enhance its service offerings.
  • The introduction of AI solutions like Uma positions Upwork at the forefront of the evolving gig economy, potentially increasing user satisfaction and engagement.
  • Upwork's diverse client base, ranging from small businesses to large enterprises, provides a stable and varied revenue stream.

What critics are saying

  • The competitive landscape, with platforms like 99Designs, requires Upwork to continuously innovate to maintain its market position.
  • Dependence on service fees means any changes in fee structure or user dissatisfaction could impact revenue.

What makes Upwork unique

  • Upwork's AI-driven innovations, such as the AI bot Uma, enhance the hiring and matching process, setting it apart from traditional freelance platforms.
  • The platform's comprehensive suite of productivity tools, including time tracking and project management, offers a seamless experience for both freelancers and clients.
  • Upwork's tiered fee structure incentivizes long-term client relationships, unlike competitors with flat fee models.

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