What are the responsibilities and job description for the SME Data Scientist position at Kavaliro?
Job Description
Kavaliro is seeking a SME Data Scientist to support a client in Virginia.
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.
Required Skills :
Demonstrated experience with Linux, Unix, or Microsoft Windows operating systems.
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.
DESIRED SKILLS
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.
Certifications :
Cloudera Certified Professional (CCP) Data Engineer.
Location :
McLean, VA
This position is onsite and there is no remote availability.
Clearance Requirement :
Candidates must have an active TS / SCI security clearance with a Full Scope Polygraph.
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