About the job
Official Title: Data Scientist
About Us: YipitData is a premier market research and analytics firm specializing in the disruptive economy, having recently secured $475M from The Carlyle Group at a valuation exceeding $1B. Each day, our cutting-edge technology analyzes billions of alternative data points to unveil actionable insights across various sectors, including software, AI, cloud computing, e-commerce, ridesharing, and payments.
Our dedicated data and research teams convert raw data into strategic intelligence, providing precise, timely, and highly contextualized analyses that our clients, from leading investment funds to Fortune 500 companies, rely on for pivotal decision-making. Our process involves sourcing and licensing innovative datasets, conducting thorough analyses, and crafting expert narratives to ensure our clients gain not just data, but clarity and confidence.
Recognized by Inc. as a Best Workplace for three consecutive years, our award-winning, people-centric culture emphasizes transparency, ownership, and a commitment to continuous improvement.
What It’s Like to Work at YipitData:
YipitData is not merely a workplace; it’s a launchpad for ambitious, impact-focused professionals. From your first day, you will spearhead meaningful projects, fast-track your personal growth, and gain invaluable exposure to shape your career.
Why Top Talent Chooses YipitData:
- Ownership That Matters: Lead impactful projects with real business implications.
- Rapid Growth: Accelerate your learning curve significantly.
- Merit Over Titles: Earn trust and responsibility through performance, not tenure.
- Velocity with Purpose: We prioritize speed, mutual support, and ambitious goals, always with intentionality.
If you are driven by ambition and possess a strong work ethic, and seek an environment where growth, impact, and ownership are standard, YipitData could be the opportunity you have been searching for.
About The Role:
At YipitData, we transform billions of alternative data points into essential signals that institutional investors and Fortune 500 clients depend on for critical decisions. The data science team is responsible for developing the methodologies behind these signals, engaging in causal inference on panel data, predictive modeling against earnings outcomes, and producing the white papers that inform our clients.
This position integrates applied data science with AI-driven tools, allowing you to oversee substantial analytical projects from conception to completion.
