Top Data & Analytics Jobs

The Data Scientist will work on custom software and machine learning solutions while contributing to alignment research. Responsibilities include managing data science projects, utilizing Python, and collaborating with various stakeholders. Candidates should have problem-solving skills, experience with machine learning APIs, and a comfort with statistical methods. Self-management and autonomous work will be key for success.

Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.

As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.

As an Azure Data Engineer at Avantiico, you will be responsible for developing and supporting data solutions using Microsoft tools such as Fabric, Synapse, and Power BI. You will work closely with team members and clients to provide analytical insights and operational efficiency.

Subject matter expert in NCR's data management tool (DRM), responsible for maintaining financial reporting, conducting data analysis, collaborating with IT, and providing guidance to junior analysts. Partner with financial planning community to update hierarchical structures within DRM. Create training materials and provide guidance for future data structure requirements. Ensure compliance with screening criteria and work closely with IT for requirement fulfillment.

The Associate Data Scientist will analyze and report on internal product data, providing insights and dashboards for healthcare contexts. Responsibilities include data extraction, cleaning, visualization, and collaboration with teams to develop metrics and KPIs.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.