Data Scientist

February 10

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Remotive

Remotive is a platform dedicated to connecting talented individuals with remote job opportunities from vetted tech companies. It offers a user-friendly interface for job seekers to search for remote positions by skill, location, and company, while also providing resources such as job search tips and a public API for employers. Remotive specializes in curating high-quality remote job listings, ensuring users have access to the best job opportunities without the hassle of excessive filtering.

remote work β€’ work from home β€’ remote jobs β€’ software development β€’ customer support

πŸ“‹ Description

β€’ The Data Scientist will work with cutting edge cloud-based services and machine learning algorithms to modernize the way artificial intelligence (AI) is deployed in healthcare. β€’ Identify the data-analytics problems that offer the greatest opportunities to the organization β€’ Determine the correct data sets and variables β€’ Collect large sets of structured and unstructured data from disparate sources β€’ Clean and validate the data to ensure accuracy, completeness, and uniformity β€’ Devise and apply models and algorithms to mine the stores of big data β€’ Analyze data to identify patterns and trends β€’ Interpret data to discover solutions and opportunities β€’ Perform statistical analytical techniques ranging from basic descriptive techniques to advanced regression and multi-variable techniques, using various statistical software programs β€’ Communicate findings to stakeholders using visualization and other means β€’ Make recommendations for new metrics, apply analytical techniques, and build ML models to improve insights for clinical analytics β€’ Maintain an understanding of the latest trends in data science and machine learning β€’ Lead development, execution, and validation of highly complex algorithms and predictive models from large sets of data β€’ Partner with business subject matter experts to select relevant sources of information and collect necessary data β€’ Communicate new knowledge and insights gained from mining and analyzing large data sets β€’ Transfer knowledge and concepts to IS and business teams that are implementing the actual system β€’ Mentor and work collaboratively with other data scientists on specific projects, improving team infrastructure and participate in methodology and code reviews β€’ Research and implement novel ML approaches to accelerate interoperability, knowledge extraction, enterprise search, real-time workflow orchestration, and more

🎯 Requirements

β€’ Master's degree in health science-related discipline, public health, statistics, economics, mathematics, healthcare, or related quantitative field from an accredited college or university or equivalent education and experience β€’ Customarily has at least five years of experience in data mining and statistical analysis β€’ Customarily has at least five years of experience with SQL and statistical software packages (Python, R, SAS/SPSS) β€’ Technical experience and data management skills including data extraction, transformation, metadata capabilities β€’ Advanced proficiency with MS Excel and PowerPoint β€’ Experience using business intelligence tools (Tableau/MicroStrategy/Power BI) and data frameworks β€’ Track record of publications

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