Support the data science team by analyzing data, executing SQL queries, validating results against analytics tools, and providing insights on user and product behavior.
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 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
Requirements
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
- Experience using SQL Query Editors and Database Management Tools
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
Top Skills
A/B Testing
Amplitude
Looker
Mixpanel
Multivariate Testing
Optimizely
SQL
Similar Jobs
AdTech • Artificial Intelligence • Marketing Tech • Software
The Data Science Intern will support analytics projects, model configuration, deployment, and gain exposure to data science in advertising technology.
Top Skills:
Aws SagemakerDatabricksPythonSQL
9 Days Ago
Easy Apply
Easy Apply
HR Tech
The Data Science Analyst Internship involves consulting on digital technologies, developing data models, and collaborating with clients to drive innovation. Interns will gain experience in various computational tools and contribute to company culture and internal initiatives.
Top Skills:
.Net LanguagesCSSD3.JsEtl/EtlvGraph/NosqlHTML5JavaKibanaMs Sql ServerOraclePythonRRestful Web ServicesScalaSoap Web ServicesTableau
9 Days Ago
Easy Apply
Easy Apply
HR Tech
As a Data Science Analyst Intern, you will consult clients on digital technologies, develop data models, and collaborate to optimize processes significantly.
Top Skills:
.NetCSSD3.JsEtl/EtlvGraph/NosqlHTML5JavaKibanaMachine LearningMs Sql ServerOraclePythonRRestfulScalaSoap Web ServicesTableau
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
