Top Entry Level Data Science Jobs

Support data analysis, prepare data for exploratory analysis, contribute to model building and validation, assist metadata and ETL tasks, and create visualizations to communicate model insights.

Entry-level Data Scientist to develop, train, and deploy statistical and machine learning models (regression, SVM, neural nets) on large datasets using R/Python/Spark. Tasks include data access and quality improvements, anomaly detection, model building, documentation, and collaborating with cross-functional teams to deliver analytic products, particularly for health insurance use cases.

Contract data scientist to remotely gather, extract, and analyze technical information about AI models, benchmarks, data centers, and companies. Tasks include reading ML papers, tracking leaderboards, processing satellite images/permits, compiling infrastructure details, and producing data insights for research and policy. Part-time (10–30 hrs/week), flexible schedule with occasional Pacific Time meetings.

Early-career rotational program where participants build and apply machine learning and statistical models, work with large datasets, design experiments, validate models, translate business problems into analytical solutions, and communicate insights while collaborating with data, engineering, and business teams.

Rotational early-career data scientist role applying machine learning, statistical modeling, and AI to solve business problems. Work with large datasets, design experiments, build predictive models, validate solutions, partner with engineering and business teams, communicate insights, and lead high-impact analytics projects while receiving mentorship.