Data Scientist/Engineer at Logistics Management Institute in Huntsville, AL
LMI is seeking a Data Scientist to support the Data Operations organization of a government-consulting firm headquartered in Tysons, VA. Work location is on-site in Huntsville, AL. The Data Scientist will work with an assigned government lead to accomplish day-to-day task management from higher headquarters and key stakeholders. The Data Scientist role is a requirement from AMC's Logistics Data Analysis Center (LDAC). Responsibilities The selected candidate's primary responsibility will be to assist LDAC in the capture and implementation of authoritative data sources in synchronization of ALD (Army Leadership Dashboard) effort. The Data Scientist will be responsible for conducting data capture and analyzing a variety of data sources across the Army to better understand the data. The work will also entail the development of data artifacts to support the ADS (Authoritative Data Source) process for validating authoritative data candidates. Duties may include:
Conduct data collection, organization, and analysis for various data formats Apply analytical techniques, such as statistical analysis, modeling, forecasting and measurement, in innovative ways to understand and validate data sources Determine appropriate sample sizes and sources for authoritative data candidates Assist in development of transitional and to-be data architecture in support of the Army's Leadership Dashboard BI Vision Construct physical and logical models as symbolic representations of a process, system, data models via mathematical, statistical, computer or other techniques Determine measures of effectiveness Ensure that data capture efforts are in synchronization with the needs of the ADS process Collaborate with stakeholders, business representatives, solution architects, system architects, and subject-matter experts to gather artifacts from authoritative data sources Attend meetings as required on behalf of LDAC and provide technical analysis of meetings and documents to support the LDAC SEP Work with the existing service delivery, engineering and enterprise operations teams to support ongoing processes, activities, and the business mission Support Integrated Product Teams (IPTs) with Subject-Matter Experts regarding enterprise business intelligence (BI) solutions, ERPs, and EA Ability to analyze and review PySpark implementation to ensure logical and physical implementation of data sources in ALD Qualifications
Qualifications:
Bachelor's Degree in Computer Science, Data Science, Mathematics, Information Technology, Industrial Engineering, or other technical discipline, including substantial competence in college-level mathematics or statistics, such as actuarial science, economics, computer science, or engineering. Must possess an active DoD Secret Clearance. 5-10 years' experience in data analysis or related field Expertise in data analysis, data engineering, data science, and computer programming Sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations methods of analysis Experience working with tools, including object-oriented programming (Python), computational analysis tools (R, MATLAB), and associated data science libraries (Spark, scikit-learn) Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections Vast knowledge of Army systems and Logistics data analytics is required Vast knowledge of Medical, Installation, and/or Financial data analytics is desired Experience with AWS or other cloud environments is a plus
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Conduct data collection, organization, and analysis for various data formats Apply analytical techniques, such as statistical analysis, modeling, forecasting and measurement, in innovative ways to understand and validate data sources Determine appropriate sample sizes and sources for authoritative data candidates Assist in development of transitional and to-be data architecture in support of the Army's Leadership Dashboard BI Vision Construct physical and logical models as symbolic representations of a process, system, data models via mathematical, statistical, computer or other techniques Determine measures of effectiveness Ensure that data capture efforts are in synchronization with the needs of the ADS process Collaborate with stakeholders, business representatives, solution architects, system architects, and subject-matter experts to gather artifacts from authoritative data sources Attend meetings as required on behalf of LDAC and provide technical analysis of meetings and documents to support the LDAC SEP Work with the existing service delivery, engineering and enterprise operations teams to support ongoing processes, activities, and the business mission Support Integrated Product Teams (IPTs) with Subject-Matter Experts regarding enterprise business intelligence (BI) solutions, ERPs, and EA Ability to analyze and review PySpark implementation to ensure logical and physical implementation of data sources in ALD Qualifications
Qualifications:
Bachelor's Degree in Computer Science, Data Science, Mathematics, Information Technology, Industrial Engineering, or other technical discipline, including substantial competence in college-level mathematics or statistics, such as actuarial science, economics, computer science, or engineering. Must possess an active DoD Secret Clearance. 5-10 years' experience in data analysis or related field Expertise in data analysis, data engineering, data science, and computer programming Sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations methods of analysis Experience working with tools, including object-oriented programming (Python), computational analysis tools (R, MATLAB), and associated data science libraries (Spark, scikit-learn) Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections Vast knowledge of Army systems and Logistics data analytics is required Vast knowledge of Medical, Installation, and/or Financial data analytics is desired Experience with AWS or other cloud environments is a plus
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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