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LMI · 2 months ago

Data Scientist (SME) - TS/SCI with Polygraph Required

McLean, VA

Full-time

Onsite

Mid, Senior Level

$104K/yr - $184K/yr

6+ years exp

LMI is a digital solutions provider focused on accelerating government impact through innovation and speed. The Data Scientist (SME) role involves utilizing mathematical and scientific techniques to meet data science requirements for federal agencies, while engaging with customers and stakeholders to deliver impactful results.

AnalyticsConsultingInformation TechnologyLogisticsManagement ConsultingProfessional Services

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Work with a project-based team comprised of staff and other contractors

Work closely with the Sponsor to review and track data science requirements and provide regular status updates

Consult with customers to determine present and future user needs for Sponsor consideration

Utilize project management systems such as a Content Management System (CMS) (e.g. Wordpress), Confluence and JIRA to define and track requirements

Engage frequently with customers and stakeholders to clearly explain the project status and results in both written and verbal or multimedia briefings

Provide traceability within program documents and the overall computing environment and architecture

Implement data science requirements, to include data engineering and data analytics services as defined by the Sponsor

Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard

Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices

Clean, parse and transform data from multiple file types into appropriate database architecture (e.g. SQL, noSQL, graph) which performs at scale

Develop self-guided training curriculum which includes detailed Jupyter Notebooks and documentation about how to use open-source and commercial software and Sponsor-developed data science software

Develop, deploy and provide feature enhancements using Python for data science products and services, to include Python packages, code documentation, notebooks, and microservices

Qualification

PythonData engineeringMachine learningDatabase technologiesLinux computingApache NiFiJupyter NotebooksGitElasticKibanaStakeholder engagementQuantitative analysisEducational backgroundCertificationsCommunication skillsTeam collaborationDocumentation skillsTechnical mentoring

Required

Bachelor's Degree in a quantitative discipline (e.g., related discipline)

Minimum 6-8 years experience

Demonstrated experience programming with Python

Demonstrated experience with general Linux computing and advanced bash scripting

Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS

Demonstrated experience processing data sources containing structured or unstructured data

Demonstrated experience developing data pipelines with NiFi to bring data into a central environment

Demonstrated experience delivering results to stakeholders through written documentation and oral briefings

Demonstrated experience using code repositories such as Git

Demonstrated experience using Elastic and Kibana technologies

Demonstrated experience working with multiple stakeholders

Demonstrated experience documenting such artifacts as code, Python packages and methodologies

Demonstrated experience using Jupyter Notebooks

Demonstrated experience with machine learning techniques including natural language processing

Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats

Demonstrated experience developing tested, reusable and reproducible work

Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics

Must possess TS/SCI with polygraph

Preferred

Demonstrated experience with system configurations, development and design, specifically around enterprise systems

Demonstrated experience communicating both verbally and in writing, when responding to emails, telephone calls and/or in person inquiries from organizational personnel

Certification: ISACA Certified Information Security Manager (CISM)

Certification: ISACA Certified Information Systems Auditor (CISA)

Certification: ISC Certified Information Systems Security Professional (CISSP)

Certification: ISC Certified Cloud Security Professional (CCSP)

Certification: ISC Certified Authorization Professional (CAP)