Entry-level data scientist jobs
Most data science hiring starts at two to four years of experience, so the entry points are worth knowing by name. Pinterest is the only company here with a dedicated full-time new-grad req open — ‘Data Scientist, Master’s University Grad’, opened October 1, 2026 at $124,950–$168,000 — plus master’s and PhD DS internships for 2027. The others run internships: Meta’s Summer 2027 Data Scientist Intern (New York, posted October 7, $7,188–$12,100 a month), Google’s Summer 2027 DS interns (PhD Research and Business tracks open until February 26, 2027), Amazon’s 2027 Data Science Internship for PhD and master’s students, Apple’s Summer 2027 Applied Data Solutions Program, and Microsoft’s PhD DS internships (applications September through April). OpenAI, Netflix, Airbnb, Uber, DoorDash and Spotify hire experienced data scientists only.
6 of 12 ranked programs match · Last verified October 11, 2026 · See the full Data Scientist List →
Google data scientists apply statistics, experimentation and increasingly ML to improve products, measure ads and search impact, and guide business decisions across three tracks. Hiring is rolling per req over about six to eight weeks, and interns follow a separate fall cycle.
Salary band, hiring status & score breakdown — see the full Google Data Scientist page →Google interview guide →
Meta data scientists are embedded product-analytics partners who define metrics, run experiments and shape product strategy; the work is analytics-heavy rather than model building. Hiring is rolling and city-based, and runs about two to three months end to end.
Salary band, hiring status & score breakdown — see the full Meta Data Scientist page →Meta interview guide →
Amazon data scientists build econometric, causal, forecasting and ML models for operations, devices, Prime Video and AWS decisions. The role leans toward inference and experimentation with ML, sitting between Business Intelligence Engineer (SQL and reporting) and Applied Scientist (production ML), and hiring is rolling, team by team.
Salary band, hiring status & score breakdown — see the full Amazon Data Scientist page →Amazon interview guide →
Apple data scientists work inside product, services, ML and corporate teams on fraud and risk, ads and Apple Pay measurement, AI and ML model evaluation and decision intelligence. The mix runs from analytics and product-facing (IS&T, Strategic Data Solutions) to ML-evaluation-heavy (AIML), and hiring is rolling, team by team.
Salary band, hiring status & score breakdown — see the full Apple Data Scientist page →Apple interview guide →
Pinterest data scientists partner with engineering, product, ads and marketing on metrics, experimentation and measurement: the Infrastructure DS II req is measurement and data-foundations work, and the grad req is product analytics with A/B testing. The work is analytics and inference first, with forecasting on some Staff reqs; experienced hiring is rolling and university hiring is seasonal.
Salary band, hiring status & score breakdown — see the full Pinterest Data Scientist page →Pinterest interview guide →
Microsoft data scientists sit in the Data Science discipline inside product and business teams such as M365 Copilot, marketing analytics and customer engineering. The posted DS II role is ML-heavy (LLM evaluation, RAG, experimentation), and mid-level hiring is thin, with most open reqs at Senior and Principal.
Salary band, hiring status & score breakdown — see the full Microsoft Data Scientist page →Microsoft interview guide →
Common questions
Browse data scientist jobs
Salary & hiring by company
Interview guides
More job lists
Land the offer, not just the interview.
Practice data science interview questions, mock interview with peers, and learn the frameworks hiring managers actually score you on.
