Data Scientist (Mid) - TS/SCI
Data Scientist (Mid) - TS/SCI
Posted today
SENIORITY
Senior
About the role
- U.S. Citizen
- Active Top-Secret/SCI security clearance at time of application and willingness to complete a CI poly upon request. A total of 5 points of relevant background via one of the following pathways: High school diploma and 5 years of relevant military or relevant professional experience.
- Relevant Bachelor's degree and 2 years of relevant experience.
- Relevant Bachelor's degree and relevant Master's degree.
- Firm grasp of programming skills with the ability to write / maintain scripts, including Python and JAVA scripts and familiarity of querying with SQL.Knowledgeable in data science, including the areas of data services, modeling, and analytics.
- Knowledgeable of geospatial data management including data type conversion; coordinate systems (latitude and longitude, UTM) and their conversions; and knowledge of projections and their properties / conversions.
- Prior experience working with data quality control tools including ArcGIS Data ReViewer.
- Knowledge of ESRI Workflow Manager WMX and TAM.
- Preferred experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL, and data base inferencing.
- Experience with combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats.
- Ability to clean / prune data to discard irrelevant information
- Ability to examine data from a variety of angles to determine hidden value, weaknesses, trends, and/or opportunities
- Advanced knowledge of ESRI ArcGIS and ArcServerKnowledge of database systems and architecture (ORACLE, PostgresEQL, NoSEL (MongoDB), Microsoft Access)
- Ability writing SQL (and NoSQL for senior candidates)
- Understanding cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOpsKnowledge of symbolization rules (how symbols are used to portray features)
- Knowledge of generalization rules
- Experience working with geospatial data in a multi-user enterprise environment (i.e., versioning data)
- Knowledge of artificial intelligence, natural language processing, and machine-to-machine learning
- Knowledge of Metrics dissemination
- Ability to convert unstructured data into structured data
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
