Data Scientist

Posted on 11/30/2023

51-200 employees

Veteran-owned firm providing strategic, tech-enabled government solutions.

Company Overview

Barbaricum stands out as a Service-Disabled Veteran-Owned small business with a strong focus on leveraging emerging technologies to support long-term client goals, particularly in the realm of National Security. The company's commitment to quality and continuous improvement is evident in its ISO 9001: 2015 certification and CMMI Level 3 appraisal, and its rapid growth and recognition by institutions like Inc. Magazine and GovCon attest to its industry leadership. With a dynamic team providing global support across five continents, Barbaricum fosters a vibrant corporate culture that has earned it the title of a Best Workplace for 2017 by Inc. Magazine.

Consulting

Company Stage

N/A

Total Funding

N/A

Founded

2008

Headquarters

Washington, District of Columbia

Growth & Insights

Headcount

6 month growth

↑ 0%

1 year growth

↑ 1%

2 year growth

↑ 16%

Locations

Remote

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

AWS

Computer Vision

Data Science

Data Structures & Algorithms

Flask

JavaScript

JIRA

Git

HTML/CSS

React.js

SQL

Natural Language Processing (NLP)

Python

NoSQL

CategoriesNew

Data & Analytics

Software Engineering

Requirements

Active DoD Secret Clearance
Master's Degree in quantitative field such as Mathematics, Statistics, Electrical Engineering, Computer Science, or Operational Research (Master's preferred)
8+ years of industry experience in predictive modeling, data science and analysis with experience using cloud architectures including, but not limited to, Databricks, Qlik, MLFlow, AWS S3
Experience with ML fields, e.g., natural language processing, computer vision, sensor based algorithms, statistical learning theory
Experience in an ML engineer or data scientist role building ML models
Experience writing code in Python (Class and Functions), and R
Experience handling terabyte-size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL
Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations

Responsibilities

Design, configure, develop, test, and support data science solutions for a wide array of telemetry based USMC use cases, to include NLP and sensor based algorithms.
Conduct complex data assessments to determine operational utility of proposed data sets in answering priority requirements.
Develop and maintain data pipelines to ingest applicable data into AI/ML engines and tools.
Discover links and connections in disparate datasets providing context to intelligence analysts.
Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intelligence Analysts.
Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.

Desired Qualifications

Proficiency in SQL and noSQL databases
Experience with SQLAlchemy, Flask, Streamlit, Dash, React, JavaScript, HTML/CSS
Familiarity with Spark, GoLang, and Application Programming Interfaces (APIs)
Knowledge of Continuous Integration / Continuous Development (CI/CD) practices
Experience with Gitlab and Jira

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 15 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.

Headquartered in Washington, DC’s historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation’s most complex and rewarding challenges. Join us.

Barbaricum is seeking an experienced Data Scientist to provide support for telemetry and maintenance analysis, which is focused on the direction, synchronization, and modernization of Condition Based Maintenance applications for the USMC. This individual will work within the Advana Enterprise Platform to develop, consult, and apply analytical methodologies for disparate and unstructured datasets.

Responsibilities

Design, configure, develop, test, and support data science solutions for a wide array of telemetry based USMC use cases, to include NLP and sensor based algorithms.
Conduct complex data assessments to determine operational utility of proposed data sets in answering priority requirements.
Develop and maintain data pipelines to ingest applicable data into AI/ML engines and tools.
Discover links and connections in disparate datasets providing context to intelligence analysts.
Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intelligence Analysts.
Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.

Qualifications

Active DoD Secret Clearance
Master’s Degree in quantitative field such as Mathematics, Statistics, Electrical Engineering, Computer Science, or Operational Research (Master’s preferred)
8+ years of industry experience in predictive modeling, data science and analysis with experience using cloud architectures including, but not limited to, Databricks, Qlik, MLFlow, AWS S3
Experience with ML fields, e.g., natural language processing, computer vision, sensor based algorithms, statistical learning theory
Experience in an ML engineer or data scientist role building ML models
Experience writing code in Python (Class and Functions), and R
Experience handling terabyte-size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL
Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations

Desired Qualifications

Proficiency in SQL and noSQL databases
Experience with SQLAlchemy, Flask, Streamlit, Dash, React, JavaScript, HTML/CSS
Familiarity with Spark, GoLang, and Application Programming Interfaces (APIs)
Knowledge of Continuous Integration / Continuous Development (CI/CD) practices
Experience with Gitlab and Jira

Additional Information

For more information about Barbaricum, please visit our website at www.barbaricum.com. We will contact candidates directly to schedule interviews. No phone calls please.