Comtech LLC
Comtech is a woman-owned small business founded in 1998 and headquartered in Reston, VA. We offer IT solutions across the disciplines of program/project management, applications development, infrastructure, Cyber security, and enterprise content/data management services. We have developed our methodologies and processes based on the IT Infrastructure Library (ITIL) v.3 Framework across enterprise infrastructure operations. These methodologies and processes are reinforced through our organization’s externally accredited certifications, which include ISO 9001:2008 Quality Management System (QMS), ISO/IEC 20000-1:2011 IT Service Management Systems (SMS, corporate ITIL certification), ISO 27001:2005 Information Security Management System (ISMS), and CMMI-DEV Level 3"
Job Description Data Engineer San Jose, CA 3 + (with possibility of extension)
Qualifications
8+ years exp in Java, Python and Scala
With Spark and Machine Learning (3+)
Responsibilities
Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.).
Work closely with our engineering team to integrate and build algorithms
Process unstructured data into a form suitable for analysis – and then do the analysis.
Support business decisions with ad hoc analysis as needed
Extract data from a variety of relational databases, manipulate, explore data using quantitative, statistical and visualization tools
Inform the selection of appropriate modeling techniques to ensure that predictive models are developed using rigorous statistical processes
Establish and maintain effective processes for validating and updating predictive models
Analyze, model, and forecast health service utilization patterns/ trends and create capability to model outcomes of what-if scenarios for novel health care delivery models
Collaborate with internal business, analytics and data strategy partners to improve efficiency and increase applicability of predictive models into the core software products
Perform statistical analysis to prioritize in order to maximize success
Identify areas for improvement, communicating action plans
Perform strategic data analysis and research to support business needs
Identify opportunities to improve productivity via sophisticated statistical modeling
Explore data to identify opportunities to improve business results
Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management
Gain understanding of business needs and necessary analysis where appropriate through internal discussion
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Job Description Data Engineer San Jose, CA 3 + (with possibility of extension)
Qualifications
8+ years exp in Java, Python and Scala
With Spark and Machine Learning (3+)
Responsibilities
Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.).
Work closely with our engineering team to integrate and build algorithms
Process unstructured data into a form suitable for analysis – and then do the analysis.
Support business decisions with ad hoc analysis as needed
Extract data from a variety of relational databases, manipulate, explore data using quantitative, statistical and visualization tools
Inform the selection of appropriate modeling techniques to ensure that predictive models are developed using rigorous statistical processes
Establish and maintain effective processes for validating and updating predictive models
Analyze, model, and forecast health service utilization patterns/ trends and create capability to model outcomes of what-if scenarios for novel health care delivery models
Collaborate with internal business, analytics and data strategy partners to improve efficiency and increase applicability of predictive models into the core software products
Perform statistical analysis to prioritize in order to maximize success
Identify areas for improvement, communicating action plans
Perform strategic data analysis and research to support business needs
Identify opportunities to improve productivity via sophisticated statistical modeling
Explore data to identify opportunities to improve business results
Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management
Gain understanding of business needs and necessary analysis where appropriate through internal discussion
#J-18808-Ljbffr