Job Family:Data Science Consulting Travel Required:Up to 10% Clearance Required:Active Secret What You Will Do: Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
Job Title: Data Scientist - Mid Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US Anticipated
Become a part of Thailand’s no.1 Digital Service Provider, Who strives to provide best services that help people fulfil their dreams. We are looking for potential candidates who are eager to learn and grow to join
Job Family:Data Science Consulting Travel Required:Up to 10% Clearance Required:Active Secret What You Will Do: Design, develop, and maintain data pipelines, transformations, and ontologies within the Palantir Foundry platform Build and deploy custom Foundry applications using Slate, Workshop,
Company:Guy Carpenter Description: We are seeking a talented individual to join our Underwriting Analytics team at Guy Carpenter. This role will be based in any of Guy Carpenters offices. This is a hybrid role that has
SENIOR DATA SCIENTIST - SPECIAL PROJECTS Cupertino, California, United States Software and Services Apple’s intelligent systems generate rich, multi-modal data from devices, sensors, software, and services. We’re looking for a data scientist who can bring clarity to this complexity
Senior Data Scientist - Special Projects Cupertino, California, United States Software and Services Apple’s intelligent systems generate rich, multi-modal data from devices, sensors, software, and services. We’re looking for a data scientist who can bring clarity to this complexity
Essential Duties and Responsibilities Accountabilities 1. Analyse programme, operational and external datasets to generate insight that supports policy development, consultation responses and commissioner engagement. 2. Apply exploratory data analysis, statistical modelling and predictive techniques to understand trends, outcomes and