CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.
We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.
If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.
Role - Data Scientist
Location - St. Louis, MO
Clearance - Active TS/SCI
Salary Range: $115,000-$160,000 Yearly
Key Requirements
Bachelor's degree in Computer Science, Mathematics, Statistics, or related technical field required; Master's degree preferred
3+ years of experience in data science, data analysis, or related field
Strong proficiency in SQL and relational database concepts
Full Description
G3 is looking for a Data Scientist to develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines. Optimize databases, expose new datasets, build custom tools, and apply mathematical concepts to solve complex geospatial intelligence analysis problems.
Responsibilities
Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intel disciplines
Optimize existing databases to speed up the query, input, export and visualization of data
Work with AOS and AOB teams to develop strategies for exposing new datasets and create migration plans for legacy datasets
Build custom solutions (tools, processes, etc.) to automate or assist analytic endeavors as submitted by AOS and AOB leadership and analytic units
Write scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, and enable hypothesis testing and knowledge capture
Use mathematical concepts and techniques to solve complex GEOINT analysis problems
Utilize ArcGIS, Excel, SPSS, SAS, MATLAB, R and other statistical packages to analyze and visualize operational data
Visualize data both temporally and spatially to assist in data integrity checks, prepare follow-on analysis, ask the next question, and display analytical assessments
Maintain, move and manipulate data between applications using SQL databases, ArcServer, table data, relational/NoSQL DBMS, Excel, Access, Tableau, Insights, Oracle
Develop tradecraft techniques and training solutions for discovery, preparation, manipulation and normalization of big data so that methods are repeatable and can be explained to users
Required Qualifications
Active TS/SCI security clearance
Bachelor's degree in Computer Science, Mathematics, Statistics, or related technical field required; Master's degree preferred
3+ years of experience in data science, data analysis, or related field
Strong proficiency in SQL and relational database concepts
Experience with statistical programming languages such as R, Python, MATLAB
Knowledge of geospatial analysis concepts and tools such as ArcGIS
Familiarity with big data technologies like Hadoop, Spark, NoSQL databases
Excellent problem-solving skills and ability to develop innovative solutions
Strong verbal and written communication skills
Preferred Qualifications
5+ years of experience in data science, preferably in the intelligence community
Experience working with geospatial intelligence data and products
Knowledge of NGA's mission, organization, and functions
Familiarity with IC data sources, tools, and analytic methodologies
Experience developing and deploying machine learning models
Ability to collaborate effectively in cross-functional teams
Strong leadership skills and ability to mentor junior analysts
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