Top Entry Level Data Science Jobs

Lead Data Scientist role focusing on NLP and Computer Vision to build new analytical solutions and inform business processes. Responsible for executing point analytics, creating predictive models, and driving projects to delivery. Collaborates with business partners, applies advanced modeling techniques, and translates analysis results for actionable insights.

The Data Scientist 2 role at Comcast involves optimizing the performance of syndicated products, engaging with global telecommunications providers, and ensuring operational excellence across the product portfolio. It requires collaboration within a motivated team focused on enhancing customer experiences in digital media and connectivity.

The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.

The Environmental Scientist role involves supporting environmental practices through field assessments, data collection, and compliance activities. Key responsibilities include conducting ecological assessments, documenting field conditions, preparing reports, and working collaboratively within a team. The position requires a commitment to fieldwork with overnight travel and ongoing professional development in environmental practices.

Lead Data Scientist responsible for developing and implementing quantitative solutions to prevent identity theft and fraud at USAA. Partner with internal teams to deploy machine learning models and graph analytics techniques. Work on financial crimes graph database strategy, identify criminal networks engaging in fraud, and integrate new data sources for improved predictive power.

The Data Scientist role at HUMAN involves conducting research in emerging product capabilities to identify fraud, developing automated fraud detection techniques, supporting experiments on prospects and clients, and actively participating in team responsibilities like reviewing work and monitoring anomalies.

As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.