Mid Data Architect / Data Scientist

Chenega Corporation•Arlington, VA

7d•Onsite

About The Position

The Mid-Level Data Architect / Data Scientist supports the development and implementation of enterprise data architectures and analytics solutions supporting CDAO data-driven mission initiatives. Chenega Military, Intelligence & Operations Support (MIOS) is looking for professionals to enhance their skills and build their careers in a rapidly evolving business climate, with a focus on professional development embedded in the employer’s core culture. Join a team of professionals who support large-scale government operations by leveraging cutting-edge technology.

Requirements

Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
4+ years of experience in data engineering, data science, or analytics.
Experience with data analytics tools, cloud data platforms, or machine learning frameworks.
Active Secret security clearance required (or higher).

Nice To Haves

Master Degree Preferred
Experience supporting DoD, CDAO, Joint Staff, or federal data modernization initiatives, including AI/ML, advanced analytics, and enterprise data management programs.
Experience with cloud-based analytics and data engineering platforms such as AWS, Azure, Databricks, Snowflake, Python, Spark, TensorFlow, PyTorch, or similar technologies, and relevant certifications such as Azure Data Engineer Associate, AWS Data Analytics Specialty, or equivalent.
Ability to work on-site 5 days a week
Ability to work independently and yet be effective within a team setting
Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment
Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals
Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.
Excellent skills in Microsoft Word, Excel, and other Office applications
Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues.
Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired.
Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it

Responsibilities

Support development of scalable data architectures supporting analytics and AI initiatives.
Design and maintain data pipelines and data processing workflows.
Support development and deployment of machine learning and analytics models.
Assist with the integration of multiple enterprise data sources and platforms.
Support development of data governance and metadata management processes.
Perform exploratory data analysis and support mission analytics activities.
Collaborate with engineers and data scientists to deliver analytics solutions.
Other duties as assigned.