Data Scientist
Posted on 2/9/2024
INACTIVE
Cameo

201-500 employees

Personalized celebrity video messages platform
Company Overview
Cameo, a leading fan engagement platform, offers a unique and personalized experience by connecting fans with over 40,000 celebrities, making it an ideal workplace for those passionate about entertainment and technology. The company's competitive edge lies in its rapid growth, with a 30% increase in employees, 50/50 gender parity in leadership, and significant funding of over $165M, demonstrating a strong and inclusive culture. Recognized by LinkedIn, Goldman Sachs, Fast Company, and Inc., among others, for its promising potential and business practices, Cameo exemplifies industry leadership in the realm of personalized fan experiences.

Company Stage

Series C

Total Funding

$181.8M

Founded

2017

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

20%

1 year growth

7%

2 year growth

-27%
Locations
Chicago, IL, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
R
Data Structures & Algorithms
SQL
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • Bachelor’s degree in Computer Science, Statistics, Applied Math, or related field
  • 2+ years of experience in data science or a related role
  • Strong proficiency in statistical software (Python/R) and database languages (SQL)
  • Experience with data visualization tools and techniques
  • Proven track record of leveraging data to drive significant business impact
  • Excellent communication skills, with the ability to translate complex data into actionable insights
  • Self-starter attitude with the ability to work independently in a fast-paced environment
  • Creative problem-solving skills and a strong analytical mindset
Responsibilities
  • Develop and implement data models and algorithms to analyze performance and measure the success of our products
  • Use data analytics to provide actionable insights, helping to decide on future product developments based on current performance and user engagement
  • Respond to ad-hoc data requests from various teams, providing insights and information to support decision-making
  • Collaborate closely with Product and Engineering to ensure data integrity and the optimal use of data in shaping product strategy
  • Design and manage experiments to test hypotheses and drive product enhancements
Desired Qualifications
  • Direct experience with e-commerce or consumer funnel optimization is a plus