iSoftTek Solutions Inc
Position: Data Engineer III
Location: Redmond, WA 98052
Duration: 12 Months
Job Type: Contract
Work Type:
Onsite Job Description: Responsibilities Build statistical models to identify patterns and trends in production testing data (telemetry, time-series) to generate correlation and predictions. Develop an understanding of the manufacturing execution system with its multiple sources of data and relationship. Analyze the production system data and derive insights into current bottlenecks and areas of improvement, along with specific actionable recommendations Collect, format and report periodic snapshots of the production and test data for consumption by other program managers and engineers. Synthesize analysis and communicate insights and recommendations to various audiences Work closely with technical program managers and engineers to provide data insights that help explain anecdotes from the manufacturing floor, and provide actionable resolution steps Create templates and scripts to help scale and automate our ability to ingest, analyze and enable quick data reviews. Required Skills & Experience 7+ years of related experience (data science, data engineering, data analysis, ML engineering) 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, Minitab, etc.) experience 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)). Should have experience developing complex and a variety of reports. A good candidate has strong analytical skills and enjoys working with large complex data sets. Experience applying theoretical models in an applied environment A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies. Preferred Experience in Python, Perl, or another scripting language Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science Experience in aerospace, manufacturing, test processes and/or test systems development Typical Day in the Role: Daily Schedule: Accelerate test data collection and reviews to help reduce testing requirements across the OISL LRUs Simplify and automate (with scripts and standard schemas) the continuous collection and formatting of such data Develop dashboards and visualizations to help the test triage process Develop a continuous monitoring and alarming framework that can help inform Engineers of areas needing a deeper analysis Partner with the continuous improvement and OISL teams to accelerate the creation of analysis and tooling to establish manufacturing statistical process controls of key LRUs and test processes Candidate Requirements: REQUIRED SKILLS Years of Experience: 5 years Leadership Principle: Customer Obsession, Learn and Be Curious, Dive Deep, Clear communication Top 3 must-have hard skills 5+ years of related experience (data science, data engineering, data analysis, ML engineering) scripting languages (e.g. Python Statistical modeling data analysis tools
Onsite Job Description: Responsibilities Build statistical models to identify patterns and trends in production testing data (telemetry, time-series) to generate correlation and predictions. Develop an understanding of the manufacturing execution system with its multiple sources of data and relationship. Analyze the production system data and derive insights into current bottlenecks and areas of improvement, along with specific actionable recommendations Collect, format and report periodic snapshots of the production and test data for consumption by other program managers and engineers. Synthesize analysis and communicate insights and recommendations to various audiences Work closely with technical program managers and engineers to provide data insights that help explain anecdotes from the manufacturing floor, and provide actionable resolution steps Create templates and scripts to help scale and automate our ability to ingest, analyze and enable quick data reviews. Required Skills & Experience 7+ years of related experience (data science, data engineering, data analysis, ML engineering) 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, Minitab, etc.) experience 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)). Should have experience developing complex and a variety of reports. A good candidate has strong analytical skills and enjoys working with large complex data sets. Experience applying theoretical models in an applied environment A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies. Preferred Experience in Python, Perl, or another scripting language Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science Experience in aerospace, manufacturing, test processes and/or test systems development Typical Day in the Role: Daily Schedule: Accelerate test data collection and reviews to help reduce testing requirements across the OISL LRUs Simplify and automate (with scripts and standard schemas) the continuous collection and formatting of such data Develop dashboards and visualizations to help the test triage process Develop a continuous monitoring and alarming framework that can help inform Engineers of areas needing a deeper analysis Partner with the continuous improvement and OISL teams to accelerate the creation of analysis and tooling to establish manufacturing statistical process controls of key LRUs and test processes Candidate Requirements: REQUIRED SKILLS Years of Experience: 5 years Leadership Principle: Customer Obsession, Learn and Be Curious, Dive Deep, Clear communication Top 3 must-have hard skills 5+ years of related experience (data science, data engineering, data analysis, ML engineering) scripting languages (e.g. Python Statistical modeling data analysis tools