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.

Develop and deploy data-driven open banking solutions focusing on affordability/credit decisioning and identity/income verification. Apply end-to-end data science techniques to large datasets, build interactive dashboards with Plotly Dash, run customer trials, collaborate with engineers, and communicate results to stakeholders. Support reproducibility, automation, governance, and knowledge sharing within the Mastercard data science community.

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.

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.

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.

Design, develop, validate, operationalize, and maintain large-scale data models and analytics. Perform end-to-end analytics including data wrangling, feature engineering, modeling (including NLP and ML), MLOps, and stakeholder communication to drive business insights and improve operational efficiency.

Internship role to develop and deploy user-growth algorithms: user segmentation, recommendations, LTV/churn/conversion models, A/B testing, causal inference analyses, and collaborate with product and engineering to drive measurable growth.

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

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.

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.

Join a two-year Data Science Accelerator Program to rotate through analytical product development assignments. Assist with data cleaning, merging, feature creation, model validation, visualization, and client inquiries while learning statistical and machine learning techniques under senior data scientists' guidance.

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.

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.

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.