Top Entry Level Data Science Jobs

New-graduate Data Scientist role building and deploying ML and GenAI systems at scale for cybersecurity. Responsibilities include model development, fine-tuning LLMs, embedding-based search, production-ready code, automated tests, architecture reviews, and cross-functional collaboration to deliver AI-powered security capabilities.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

As a Data Scientist, you'll design and implement innovative models, conduct exploratory data analysis, and mentor others while developing scalable algorithms using machine learning techniques.

Support government analytics for integrated combat and weapons systems using MATLAB or Python. Analyze test data, develop automation scripts, produce technical reports and visualizations, collaborate with multidisciplinary teams, and improve data analysis workflows under government direction.

Work as a healthcare data scientist/consultant delivering statistical analysis, predictive modeling, BI reporting, and data visualization for clients. Independently manage projects and client relationships, using R, SAS, SPSS, Cognos, and BusinessObjects. Report to the Senior Consultant.

Assist senior data scientists with data collection, preprocessing, cleaning, and basic statistical analysis. Support model development, perform basic visualizations, and document processes and findings while learning and applying data science techniques.

Support human performance initiatives by entering, cleaning, and preparing data, maintaining databases/spreadsheets, and assisting basic performance analyses. Collaborate with multidisciplinary practitioners to identify data collection opportunities and prepare reports/presentations conveying trends and readiness insights. Use government systems to manage and analyze HP data.

Early-career data scientist role to analyze user and content data, build metrics, design recommendation strategies (recall, ranking, cold-start, diversity), run A/B tests, evaluate experiments, explore LLM/multimodal applications, and improve data pipelines and feature logging.

As a Data Scientist, you will collaborate with scientists to develop algorithms and software solutions for data analysis and machine learning, while engaging in multidisciplinary teamwork to meet project objectives.

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.

The Data Scientist will support analytics initiatives, collaborating across functions to build models, map data, and solve business problems using data science techniques.

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.

As a Data Scientist at GLS, you will design data science solutions, develop predictive models, gather and clean data, and present insights to stakeholders while collaborating with business partners and IT.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.