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: LCAT SWE-3 (Data Science Software Engineer)
Work Location: Emerson 3, Laurel Maryland.
Salary $190,000 - $210,000
Clearance -TS/SCI FSP
Description: Contractor shall develop, enhance, and prototype compliance and business processing analytics and tools. Develop new methods for automating compliance functions and improve existing methods. Contractor will investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. Contractor will develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.
Task Order Required Skills: Experience with Java, Scala, and Python
Experience with Lucene, JEXL, SQL, JSON
Random Forest and ability to do feature development for Random Forest
Experience with Machine Learning Model building and monitoring
Experience developing in a Linux operating environment
Experience with Ghostmachine (Map/Reduce)
Experience with GM Learn
Experience with Jupyter Notebooks
Experience with IntelliJ and/or Eclipse
Experience with Git/Gitlab and/or Stash/Bitbucket
Experience with Jira
Experience with Confluence
Experience with Scikit-learn
Agency Compliance standards, policies, and authorities
Experience with Agency corporate systems
Experience with documentation and reviewing documentation
Task Order Desired Skills: Data Science skills/background
Experience with AWS
Experience implementing ML systems
Experience with Spark
Exploratory Data Analysis (EDA)
Agentic AI
Large Language Models (LLM)
Machine Learning Feature Development
Other Machine Learning models and techniques
SWE-3 LCAT Qualifications: Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
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