Before you apply
For an early-career data science application, look past the title and test the scope. Read whether the role expects guided analysis, experiment design, model development, production ownership, or independent stakeholder work. Check the hiring region, required tools, degree or equivalent-experience language, mentoring, interview steps, and any stated salary or work schedule. Search Data Scientist I, associate, junior, graduate, new-grad, and early-career decision science titles, then compare responsibilities. A portfolio is stronger when it explains the question, data limits, method, result, and decision someone could make from the work.
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Fresh entry-level remote data scientist openings
Review the level signal alongside the responsibilities. Confirm whether the role includes mentoring, what you would own in the first months, and whether the hiring region, schedule, and experience requirements fit before applying.
Current roles on company sites
Recent examples from company career pages.
Search the first rung under every label
Search formal levels such as I and Associate, cohort labels such as Graduate, and nearby decision-science titles. Read the responsibilities to check whether the opening fits your experience.
Search every title in Career HoundEntry-Level Remote Data Scientist Jobs questions
What counts as an entry-level data scientist job?
Look for explicit entry, junior, associate, graduate, new-grad, or level I signals. Years of experience are useful but inconsistent, so also check the scope, ownership, mentoring, and whether the role expects you to design systems independently.
Can I become a data scientist with no professional experience?
You still need evidence that you can work through an ambiguous data problem. That evidence can come from research, coursework, volunteer work, open source, or a strong independent project. Show the decision, not only the model.
Should I apply when an entry-level role asks for two years of experience?
Apply when the responsibilities fit and you can show comparable work, especially if the requirement is listed as preferred. Skip roles whose ownership, architecture, or leadership expectations clearly describe a mid-level hire despite the title.