Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired design
The Principal Data Engineer serves as a hands-on technical authority responsible for defining and implementing enterprise-scale data architecture and engineering strategies while actively contributing to solution design, development, optimization, and technical delivery. As part of an assigned product
Interns will utilize statistics and computer science to solve complex problems in healthcare. Problem areas include: diagnostic analytics such as image analysis, signal processing and pattern recognition, NLP, scheduling, risk analysis and prevention, outcome analysis, targeting and socio-economic behaviors,
Job Description: Summary: The Healthcare Statistical Analyst performs technical services within the actuarial or risk adjustment department that support of the Health Plans operations which monitors and maintains financial solvency through the understanding of current data &
Talent Acquisition Consultant The Talent Acquisition Consultant is accountable for all end-to-end solutions to satisfy short-term, mid-term, and long-term staffing needs. The Talent Acquisition Consultant is responsible for developing and implementing solutions in the areas of
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software
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