Senior Data Scientist

SECURITY CLEARANCE: TS/SCI with both Polygraphs is required

POSITION:  Senior Data Scientist

LCAT: System Engineer, Level 3

REQUISITION:  NIN-DS-11.060624bk

LOCATION:  Ft. Meade, Maryland

 

Telework Capability available!

Working within the DevOps Team, this group is responsible for the design, development, and maintenance of the Outage Management Ecosystem (OME). 

The OME provides a suite of products that automate, integrate, standardize, and normalize the processes for data handling and reporting of Capabilities Events (i.e.: Incidents, Changes, Problems, Metrics, etc.). 

Partner with business customers and development teams to develop and define analytics requirements and then deliver flexible, scalable, end-to-end solutions ~ coordinating across the enterprise to rapidly respond to events and triage unexpected issues on a 24/7 watch floor center.

Members of the DevOps Team are developing a micro-service architecture model.  Micro-service development structures a single application as a set of smaller services like frontend (user interface and presentation of data) and backend (fetching and storing data). Using a micro-service architecture as opposed to a monolith architecture (everything in one application) provides high maintainability, more ease in testing, and loosely coupled services. 

The overall environment for development and production, as well as several of the supporting tools, sits on Commercial Cloud Services (C2S). C2S provides the Amazon Web Services (AWS) – EC2, S3, etc.

• Built ETLs to ingest the data into the data warehouse and datalake, as well as end-user facing reporting applications.

• Developed, implemented and maintained the metrics and reports to enable decision support systems for the organization.  This includes working with other teams to develop those metrics from their services.

• Serve as a site reliability engineer role to diagnose customer-impacting outages or performance degradation, and deployed machine learning models to alert users of technical threats to mitigate risks.   

• Partner with product owners to deliver tailored solutions that support business requirements, create a superlative user experience, and drive tangible business value.

• Participate in the planning and analysis of requirements for system enhancements, translating requirements into well-architected solutions that best use the internal platform and products.

• Perform integration, performance, load system testing, system monitoring, traceability analysis, and root cause analysis for a large microservice architecture running on Kubernetes.

Background in statistical analysis

Experience with building, tuning, and testing predictive models

Experience creating analytic charts and dashboards

Preferred Qualifications:

Elasticsearch

RegEx

Machine learning

Natural Language Processing

Regression and predictive analysis

Python

MATLAB or R

SQL or Mongodb

Metric Database (Grafana/Graphite/InfluxDB)

CERTIFICATION:  

EDUCATION:  Bachelors Degree

PROFESSIONAL EXPERIENCE: 

  • Bachelors + 20 years

  • No Degree + 25 years