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Data Scientist

Beavercreek, OH, US • Posted 1 day ago • Updated 2 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Data Architecture
Prototyping
Organizational Skills
Analytical Skill
DevOps
System Integration
Data Management
Application Development
Data Analysis
Unstructured Data
Statistical Models
Data Storage
Management
Amazon S3
SQL
MongoDB
Apache HBase
Apache Atlas
Apache Kafka
Python
R
Data Manipulation
Pandas
NumPy
Analytics
Jupyter
Apache Spark
MATLAB
Data Modeling
Extraction
Forms
Communication
Security Clearance
Computer Science
Data Science
Information Systems
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Data Visualization
Git
Version Control
Issue Tracking
Continuous Integration
Continuous Delivery
Jenkins
GitLab
Artificial Intelligence
Amazon SageMaker
Machine Learning (ML)
TensorFlow
Keras
scikit-learn
Team Leadership
C++
Java
Linux

Data Architecture
Prototyping
Organizational Skills
Analytical Skill
DevOps
System Integration
Data Management
Application Development
Data Analysis
Unstructured Data
Statistical Models
Data Storage
Management
Amazon S3
SQL
MongoDB
Apache HBase
Apache Atlas
Apache Kafka
Python
R
Data Manipulation
Pandas
NumPy
Analytics
Jupyter
Apache Spark
MATLAB
Data Modeling
Extraction
Forms
Communication
Security Clearance
Computer Science
Data Science
Information Systems
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Data Visualization
Git
Version Control
Issue Tracking
Continuous Integration
Continuous Delivery
Jenkins
GitLab
Artificial Intelligence
Amazon SageMaker
Machine Learning (ML)
TensorFlow
Keras
scikit-learn
Team Leadership
C++
Java
Linux

Summary

Overview

VTG is seeking a Data Scientist to support our Team in Beavercreek, OH. The Data Scientist will design, prototype, and implement a data management and application development pipeline in support of national defense data science and data architecture prototyping tasks. This role will also include gathering and organizing data, conducting data analytics, and developing data analytic and AI/ML based applications. This is an onsite role due to its classification level.

What will you do?

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype a range of novel solutions. This data scientist would be involved at all levels of the data life cycle from onboard management of data to its use in application development and back to application integration and gathering test data.

Leverage third-party tools to architect and prototype a modern data management and application development pipeline in a local and/or a cloud environment
Perform data analytics of simulated and real-world data
Integrate structured and unstructured data from disparate data sources
Develop applications and models supporting various users
Provide technical input to program managers and government representatives

Do you have what it takes?

Required qualifications:

Bachelor's Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field
4+ years of experience as a Data Scientist including experience in statistical modeling and machine learning based on the analysis of large sets of data
Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.)
Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask)
Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB)
Knowledge of data modeling principles
Experience in knowledge extraction and insights from data in various forms, both structured and unstructured
Cloud development experience, preferably in AWS
Excellent verbal and written communication skills
with current TOP SECRET/SCI Eligible Clearance or ability to obtain a TOP SECRET/SCI clearance
Successful completion of background check

Desired qualifications:

Master's Degree or higher in Computer Science, Data Science, or Information Systems
Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud
Data visualization experience and associated tools/libraries (e.g. pyplot, seaborn)
Experience using Git for version control and issue tracking
Experience with artifact repositories (e.g. Artifactory)
Experience with CI/CD pipelines (e.g. Jenkins, Gitlab pipelines)
Experience with AI/ML development tools and libraries (e.g. Sagemaker, ML Studio, Tensorflow, Keras, scikit-learn)
Experience leading teams and projects
Programming experience in C++ and Java
Experience with Linux systems

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL806649
Position Id: 2a01c0860163baaf47e84d8c890d3abe
Posted 1 day ago

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