Research & AnalystJobs in Tech
Research and analyst roles at top AI and tech companies. Cover quantitative analysis, market research, and product strategy. Analyze data, evaluate trends, and inform business and product decisions.
Chercheur(euse) principal(e) - Apprentissage automatique / Senior Researcher - Machine Learning
Research Associate / Research Engineer II (Robotics and Machine Learning)
Research and analyst roles at AI and tech companies span quantitative research, market analysis, product strategy, and economic modeling. These positions sit at the intersection of data, domain expertise, and business strategy - informing decisions about product direction, market expansion, and competitive positioning.
Common roles include research scientists, quantitative analysts, market researchers, and data analysts. In AI companies, research roles often involve evaluating model capabilities, studying user behavior, and producing insights that guide product development. Strong analytical skills, proficiency with data tools (Python, SQL, R), and the ability to communicate findings clearly are consistently valued across teams.
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Frequently Asked Questions
What does a research analyst do at a tech company?
Research analysts gather and interpret data to inform business decisions. At tech companies this spans user research (understanding how people use products), market research (competitive landscape and opportunity sizing), quantitative analysis (metrics, experimentation, causal inference), and domain research (staying current on trends in AI, markets, or regulations).
What tools and skills are most valued for research roles?
Python and SQL are the foundational tools for most quantitative research roles. R is valued for statistical work. Familiarity with experiment design (A/B testing), data visualization tools (Tableau, Looker), and the ability to communicate results to non-technical stakeholders are consistently sought. Domain expertise (AI, finance, policy) can be a significant differentiator.