Employer Active
Role: Data Scientist
Location: Redmond, WA
Duration: long term
b Description
We are looking for a dedicated Data Scientist to support ML Ops, build ML models to provide valuable insights into device status codes and error codes.
Job Responsibilities
Building tools to automate data collection
Searching through large data sets for usable information
Correlating similar data to find actionable results
implement statistical models, machine learning, and analysis (prediction, classification, clustering, time series forecasting, regression models,...
Develop and assess AI algorithms, based on large and complex data sets, across multiple projects and product lines, to meet customer requirements.
Creating reports and presentations for business uses
Job Requirements
5+ years of designing, implementing, and maintaining large-scale distributed systems, data analytics, device crash dump analysis and reporting.
2+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
2+ years of experience in strong hands-on skills in SQL, and Python to implement statistical models, machine learning, and analysis (prediction, classification, clustering, time series forecasting, regression models, etc
Industry experience in software engineering understanding software development process, e.g., source code control, Agile/scrum, CI/CD, and deep knowledge / experience in technologies across all data lifecycle stages
Understanding Azure data factory, Azure subscription/service fabric, Azure Analytic Service, Azure SQL, Cosmos/SCOPE, Kusto, PowerBI, and JavaScript
Strong problem-solving and prioritization skills
Proactive learning/service-oriented attitude & good at English communications
Bachelor's in computer science
Skills : SQL , ML , CI/CD , JAVASCRIPT , AGILE/SCRUM , DATA SCIENTIST , AZURE SQL
Full Time