Top Data Science Jobs

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

As a Data Science Manager at League Studio, you will lead a team to drive data science projects focused on enhancing player experiences. Responsibilities include team leadership, project management, stakeholder communication, and ensuring high standards of data science delivery. You will mentor team members and foster a collaborative environment while aligning with organizational goals.

The Data Scientist in Product Analytics role at Citizen involves collaborating with Product and Engineering teams to enhance testing and reporting capabilities. The position focuses on A/B testing, statistical analysis, and providing actionable insights to drive business decisions while supporting the growth and revenue pillars of the organization.

The Staff Data Scientist at Angi leads the development and deployment of machine learning models aimed at enhancing fraud detection and user experience on the platform. This includes collaborating with cross-functional teams, innovating approaches in machine learning, and mentoring junior staff. Success in this role significantly impacts the integrity and efficiency of services offered to homeowners and pros.

The Principal Data Scientist will lead projects in AI and machine learning, transforming transaction data into actionable insights, optimizing audience targeting, mentoring junior members, and applying innovative technologies to enhance advertising solutions.

The Senior/Lead Data Scientist in Marketing Analytics is responsible for building and maintaining predictive models, identifying patterns and trends in data, and enhancing business decision-making. The role involves developing complex analytic frameworks, generating ad-hoc analyses, and creating new analytic procedures, requiring advanced communication skills to relay results to non-technical audiences.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.