Entry-Level Data Scientist Jobs

The entry-level Data Scientist job market in the United States holds 99 open positions, with a median midpoint salary of $110,000, signaling steady demand for fresh talent in data-driven roles. Hiring activity centers on a mix of tech, finance, and consulting firms, where employers like Visa with four openings, Booz Allen Hamilton with three, and Jerry.ai with three are actively screening candidates for foundational contributions to analytics teams. Common entry points include initial resume reviews focused on technical proficiency and brief technical assessments to gauge problem-solving in real-world scenarios, often prioritizing those who can quickly apply core tools to data challenges. To stand out, build expertise in Python, SQL, and machine learning—these skills appear most frequently in job requirements and offer the highest leverage for entry-level applicants, enabling you to handle data manipulation, querying large datasets, and developing basic models that drive business insights. With less than two years of experience, tailor your application by including one specific GitHub project demonstrating Python and SQL integration for a simple data analysis task, such as cleaning and visualizing a public dataset to uncover patterns; this directly addresses recruiter expectations for practical, hands-on evidence over formal tenure. As you prepare, target these employers' postings to align your profile with their emphasis on statistical analysis and predictive modeling, positioning yourself for roles that blend data science fundamentals with immediate team impact in a competitive yet accessible field.