| Data Scientist at Remote, Remote, USA |
| Email: [email protected] |
| From: Rakesh, Blue Ocean Ventures [email protected] Reply to: [email protected] Hi, Role : Data Scientist Location : Remote Data Scientist (Level 04) Having at least 1 4 years of experience in industry (including internships in an industrial setting while in an educational setting) and solidly collaborative interpersonally, a Data Scientist knows and uses the basic tools of the craftdata ingesting, data cleansing, feature engineering, data filtering and aggregating, statistical estimation and hypothesis testing, and machine learningto support GWTs Medicaid clients, by wrangling healthcare and other client data assets and then analyzing them to surface basic, impactfully actionable insights. This level doesnt require prior experience with healthcare, but its strong plus coming in, and learning this content domain starting day one is part and parcel of the on-going task. Must Have: Has worked several times with datasets at least 100K rows in size Has solid experience wrangling Ugly Data Has used all basic SQL features (select, join, where, group by, etc.) on non-training databases Has used Machine Learning on at least two non-training data sets (that is, not e.g., Iris) Has used Statistics on at least two non-training data sets Solid Python including syntax and ML libraries Frequently Occurring Plusses at This Level: Experience using Jupyter Notebooks Familiar with the use of GitHub, GitLab, or other source control software Experience with Distributed Computing Experience with Healthcare data Main-stream BI dashboarding tools such as PowerBI, Tableau, SAS, etc. Strong Object-Oriented Design (C++, C#, python, etc.) Functional Programming Excellent written and verbal communication skills Please Highlight any of these more Advanced Levels of Experience: Expert knowledge of SQL queries to process large amounts of data in a set-based fashion Thorough understanding of various SQL windowing functions through regular use Solid understanding of indexing, stored procedures, materialized views, etc. Has worked with datasets 10M 10B rows in size, some of them ugly/messy Solid experience with the use of Dev\\Sec\\Ops procedures for iterative development Experience doing Data Science leveraging the elasticity in a major Cloud environment Has good knowledge of Repeated Measures Statistical methods including forecasting Performed Data Science with Healthcare data Performance Optimization for Data Science development and in production Working knowledge of stacks and CQRS data structures, and state machines that use them Knowledge of Semi-Structured and UnStructured data, schema-on-read, parsers, NLP packages Artificial Intelligence / Neural Network Experience a strong plus Comfort-level presenting to business stakeholders and executives Keywords: cplusplus csharp machine learning business intelligence information technology |
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| Mon Jan 02 22:12:00 UTC 2023 |