SME Data Scientist
Job Description
Job Description:
- The Contractor shall work with stakeholders to identify opportunities for leveraging data to drive solutions.
- The Contractor shall create and maintain data pipeline architecture.
- The Contractor shall create data tools for analytics and the team that assist in building and optimizing vendor vetting solution.
- The Contractor shall assemble data sets that meet functional and non-functional requirements.
- The Contractor shall identify, design, and implement process improvements to automate manual processes, optimize data delivery, and design infrastructure for scalability.
- The Contractor shall build the infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- The Contractor shall build analytic tools that use the data pipeline to provide actionable insights into the customer’s vendor vetting system.
- The Contractor shall work with the Sponsor to assess the datasets that align with the customer’s requirements.
- The Contractor shall work with stakeholders and the team to assist with data-related technical issues and support the data infrastructure requirements.
- The Contractor shall assess vendor vetting system requirements in consultation with relevant stakeholders.
- The Contractor shall provide Weekly Status Reports.
- Demonstrated experience with Linux, Unix, or Microsoft Windows operating systems.Â
- Demonstrated experience with building and optimizing big ‘data’ data pipelines, architectures, and datasets.
- Demonstrated experience with building, testing, and maintaining database pipeline architectures.
- Demonstrated experience with build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Demonstrated experience with manipulating, processing, and extracting value from large disconnected datasets.
- Demonstrated experience with data warehousing solutions.
- Demonstrated experience in developing data validation methods and data analysis tools.
- Demonstrated experience with compliance, data governance, and security policies.
- Demonstrated experience with working with structured, semi-structured, and unstructured data to include data parsing, transformation, schema analysis, and query/analysis.
- Demonstrated experience with SQL and working with relational databases.
- Demonstrated experience using Python, JavaScript for web/html development.
- Demonstrated experience using big data tools.
- Demonstrated experience with program management framework.
- Demonstrated experience working on Amazon Web Services environments or other cloud service providers (CSP) environments.
- Demonstrated experience building, instrumenting, and monitoring analytic pipelines.
- Demonstrated experience using Python to deliver operational ML capabilities.
- Demonstrated experience with distributed data and data computing tools.
- Demonstrated experience with the Amazon Web Services infrastructure or other cloud service providers (CSP) infrastructure.
- Demonstrated experience with the data science capabilities native to Amazon Web Services or other cloud service providers (CSP).
- Demonstrated experience working with Linux command line (bash).
- Bachelor or Master’ Degree in an IT discipline
- Cloudera Certified Professional (CCP) Data Engineer
- McLean, VA
- This position is onsite and there is no remote availability
- Candidates must have an active TS/SCI security clearance with a Full Scope Polygraph
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