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VT Group (VTG)

Data Scientist

beavercreek, OH

Check who can apply and the requirements below before continuing.

About this opportunity

VT Group (VTG) lists this Data Scientist opportunity in beavercreek, Ohio. Review the employer’s description below for duties, qualifications and application requirements.

Job description

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.

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.

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.

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

US Citizen 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

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