LCAT SWE-3 (Data Science Software Engineer)

CCS, LLC
Laurel, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 210K

Job location

Laurel, United States of America

Tech stack

Java
Amazon Web Services (AWS)
Data analysis
Confluence
JIRA
Apache Lucene
Linux
Eclipse
MapReduce
IntelliJ
JSON
Python
Machine Learning
Scala
SQL Databases
Data Streaming
Jupyter Notebook
Large Language Models
Random Forest
Spark
Gitlab
GIT
Scikit Learn
Information Technology
Bitbucket
Machine Learning Operations
Virtual Agents

Job 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.

Requirements

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, 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.

About the company

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.

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