Data Scientist role at Vivo, engaging in data transformation and machine learning on large datasets. Focus on big data analytics using modern tools and methodologies in a telecom environment.
About the role
- Data Science Intern working with cross-functional teams to develop scalable data solutions in a fast-paced environment. Internship provides exposure to data-driven decision-making.
Responsibilities
- We are looking for intellectually curious, highly motivated individuals to join our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.
- You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment.
- This is a 12-16 week internship during Summer 2026. In the role you will gain exposure into various skills involved in making data-driven business decisions. Ranging from analytics engineering, dashboard building, and presenting insights.Your work and ideas will contribute to solving some of the most complex technical challenges we face today and define future initiatives.
Requirements
- Pursuing a degree in Econ, Business, Analytics, Data Science, or Engineering graduating between Dec 2026 and Summer 2027
- Proficient in SQL and other scripting languages like Python or R
- Adept at translating business problems into code and producing practical solutions
- Analytical thinker who can break down business problems into pieces measured by data
- Excellent communicator between technical and non-technical stakeholders
- Passionate about storytelling with data
- Bonus points for being a collector
Benefits
- Monthly allowance for cell phone and internet
- Monthly allowance to dogfood the app
- All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
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