Y-Axis Jobs Logo
Send us feedback
telephone  +91 7670 800 001
Log in Sign up Try Premium
Data Science Intern at Veriswap
, , United States -
Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

SQL, A/B Testing, Multivariate Testing, Business Metrics, LTV, Churn, Activation, Retention, Analytics Platforms, Experimentation Platforms, Consumer Apps, Startup Experience, Cross-Functional Collaboration, Data Analysis, User Behavior Analysis, Product Behavior Analysis, Logistical Metrics Analysis

Industry

Internet Marketplace Platforms

Description
About Veriswap Veriswap is a barter marketplace for trading cards, operating within the $10B+ sports card secondary market. We’re focused on creating a new swap economy because we believe the swaps market is 5x larger than the cash sales market for collectibles. Our mission is to empower collectors by enabling them to trade sports cards anytime, anywhere. We’ve completed over $120M in transactions in just 3 years, with trades as large as $300K on the platform. We serve 100,000 users, and the trading card market is at an all-time highs, with $400M+ of cards sold in the last month. Our founding team comes from Columbia (ex-IB) and Brown (ex-Google). Together, we are building something truly exciting and are looking for driven individuals to help shape the future of collectibles. Logistical Info Founded in 2021 Team size: 22 (8 engineers/product, 12 Operations) Headquarters: Palo Alto, CA Must Haves Deep knowledge of SQL Basic understanding of experimentation (A/B & Multivariate testing) Familiarity with key business metrics including LTV, churn, activation, and retention Strong quantitative academic background Nice to haves Experience with analytics platforms (i.e. Amplitude, Mixpanel, etc) Experience with experimentation platforms (i.e. Optimizely, Looker) Experience working with consumer apps Experience working at startup Experience working cross-functionally with Product, Design, Marketing & Ops Day-to-Day Responsibilities: Execute queries, analyze data, and make recommendations based on observations Analyzing user behavior Analyzing product behavior Analyzing operation / logistical metrics Validate SQL query results against product analytics tools to ensure data quality Suggest new metrics to gain insights on user behavior Details Fully Remote, 10-12 hours per week
Responsibilities
The intern will execute queries, analyze data, and make recommendations based on observations. Responsibilities also include analyzing user behavior, product behavior, and operational metrics.