Wiser
Data Scientist - TS/SCI cleared
Wiser, Springfield, Virginia, us, 22161
Data Scientist - TS/SCI Cleared
Location:
Springfield, VA
Required Clearance:
Top Secret/SCI Security Clearance
Wiser offers innovative solutions to clients in the public, private, and government sectors. We combine technology and expertise to develop inventive solutions that deliver quality results and aid in critical decision making. With the flexibility and efficiency of a small business, we provide nimble responsiveness with the low risk and strong performance experience of an established GEOINT and Geospatial service provider.
Minimum Qualifications U.S. Citizen Active
Top-Secret/SCI
security clearance at time of application and willingness to complete a CI poly upon request. 3-10 years of programming skills with the ability to write / maintain scripts, including Python and JAVA scripts and familiarity of querying with SQL. Advanced knowledge in data science, including the areas of data services, modeling, and analytics. Advanced knowledge 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. Minimum 2 years of experience working with data quality control tools including ArcGIS Data ReViewer. Proficient with ESRI Workflow Manager WMX and TAM. Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL, and data base inferencing. Desired Qualifications
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 ArcServer Knowledge 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 DevOps Knowledge 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 Proficient in MS Outlook, Word, PowerPoint, Access, and Excel Senior candidates may have additional knowledge of Data Warehousing, Data Mining, Predictive Modeling, Data Integrity / Security, Data Anomaly Detection, Statistical Analysis, S-57 data structure, specifications, validation, and the ability to produce ENC and AML, use of ECDIS display systems
Work Environment
Work is within a team environment and will be conducted on site in Springfield, VA.
*Candidates are encouraged to submit a resume that explicitly addresses each of the requirements listed above.
Wiser Imagery Services is an Equal Opportunity/Affirmative Action employer dedicated to building an inclusive and diverse workforce. Our applicants and employees are protected from discrimination and are provided equal access to programs, services, and employment. Applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of Wiser Imagery Services.
The safety of our associates, both current and future, is Wiser's highest priority. Wiser is a government federal contractor and adheres to current mandates, laws, and guidance regarding the COVID-19 pandemic.
To comply with Federal law, Wiser Imagery Services participates in E-Verify. Successful candidates must pass the E-Verify process upon hire.
Wiser Imagery Services is a drug-free workplace. We respectfully request not to be contacted by recruiters and/or staffing agencies.
Location:
Springfield, VA
Required Clearance:
Top Secret/SCI Security Clearance
Wiser offers innovative solutions to clients in the public, private, and government sectors. We combine technology and expertise to develop inventive solutions that deliver quality results and aid in critical decision making. With the flexibility and efficiency of a small business, we provide nimble responsiveness with the low risk and strong performance experience of an established GEOINT and Geospatial service provider.
Minimum Qualifications U.S. Citizen Active
Top-Secret/SCI
security clearance at time of application and willingness to complete a CI poly upon request. 3-10 years of programming skills with the ability to write / maintain scripts, including Python and JAVA scripts and familiarity of querying with SQL. Advanced knowledge in data science, including the areas of data services, modeling, and analytics. Advanced knowledge 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. Minimum 2 years of experience working with data quality control tools including ArcGIS Data ReViewer. Proficient with ESRI Workflow Manager WMX and TAM. Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL, and data base inferencing. Desired Qualifications
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 ArcServer Knowledge 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 DevOps Knowledge 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 Proficient in MS Outlook, Word, PowerPoint, Access, and Excel Senior candidates may have additional knowledge of Data Warehousing, Data Mining, Predictive Modeling, Data Integrity / Security, Data Anomaly Detection, Statistical Analysis, S-57 data structure, specifications, validation, and the ability to produce ENC and AML, use of ECDIS display systems
Work Environment
Work is within a team environment and will be conducted on site in Springfield, VA.
*Candidates are encouraged to submit a resume that explicitly addresses each of the requirements listed above.
Wiser Imagery Services is an Equal Opportunity/Affirmative Action employer dedicated to building an inclusive and diverse workforce. Our applicants and employees are protected from discrimination and are provided equal access to programs, services, and employment. Applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of Wiser Imagery Services.
The safety of our associates, both current and future, is Wiser's highest priority. Wiser is a government federal contractor and adheres to current mandates, laws, and guidance regarding the COVID-19 pandemic.
To comply with Federal law, Wiser Imagery Services participates in E-Verify. Successful candidates must pass the E-Verify process upon hire.
Wiser Imagery Services is a drug-free workplace. We respectfully request not to be contacted by recruiters and/or staffing agencies.