Statistician/Data Scientist

Minimum Clearance Required to Start:

Job Description:

Provide data science and development support in assisting the client solve challenging intelligence problems. Ability to develop processing pipelines to programmatically collect data from a variety of disparate sources, then condition, normalize, and combine these disparate data for analysis. Design, train, and deploy machine learning pipelines (to include supervised, unsupervised, and deep learning / computer vision) algorithms for detection and characterization applications. Provide statistical and mathematical support in developing and/or validating algorithms focused on solving intelligence problems.

• Collaborate across a diverse team of statistician’s/data analysts.

• Utilizes industry standard communication and visualization tools to visualize and communicate complex quantitative information and analysis to senior executives.

• Uses data mining for structured and unstructured information to join and explore relationships in disparate data sets.

• Maintain, move, and manipulate data between applications, using appropriate software: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves.

• Strength in collaboration and teamwork within, between, and across organizational boundaries.

Skills and Experience:

Required:

• Possess a Bachelor’s Degree or higher in math or a science related field or possess at least 7 years of relevant experience in lieu of a Bachelor’s Degree.

• Possess at least 7 years of relevant experience.

• Demonstrated experience of data mining and developing/maintaining/manipulating databases.

• Demonstrated experience using COTS statistical software (SPSS, SAS, MatLab, etc) for advanced statistical analysis of operational tools and data visualization.

• Demonstrated experience of Geospatial Policies, International Policy, Co-Production, and dissemination of data.

Desired:

• Demonstrated experience of designing, developing, and delivering operations research applications (databases, websites, tools, and products) that are geospatially enabled to support a multitude of intelligence issues.

• Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems.

• Demonstrated experience in developing new geospatial methods and technologies from an operations research framework.

• Demonstrated experience in developing mathematical algorithms and applications in response to complex requirements.

• Demonstrated experience applying various statistical clustering algorithms, to include spatial clustering algorithms.

• Demonstrated experience building deep learning / computer vision detection and characterization pipelines using packages (such as Tensorflow, Keras, and/or Pytorch) .

• Demonstrated experience interacting with application programming interfaces (APIs).

• Demonstrated experience in identifying systems enhancements, new capabilities, concept demonstrators, and capability business cases.

• Experience with code versioning tools / repositories such as Git, Gitlab, and GitHub.

• Experience packaging and distributing custom Python or R packages.

• Experience using JIRA or like project management tools.

• Experience with Jupyter Notebook / JuypterHub.

• Demonstrated understanding / experience with graph theory and graph databases.

• Demonstrated experience of advanced programming techniques, using the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS, SPSS, SAS. Customize ArcGIS templates, Manage ArcGIS Portals, and/or Customize ESRI StoryMap Templates. Use NET, Python, C++ and/or JAVA programming for web interface development and geodatabase development.