Data Scientist – Sr

Nalley Consulting•Reston, VA

2d•Onsite

About The Position

Nalley Consulting has an opportunity for an experienced Data Scientist to support on-going research and development efforts for functional characterization of WMD facilities and their associated design. The successful candidate will provide data science, machine learning, and artificial intelligence support. They will also conduct data engineering tasks to integrate multiple APIs, and support process automation, data visualization, and application integration. Additionally, the role involves developing tools to automate data analysis of large data sets.

Requirements

4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data
Bachelor’s degree in Computer Science, Mathematics, or relevant field
Demonstrated ability to work effectively within or lead a team of peers, as well as excellent interpersonal and communications skills
Ability to communicate highly technical analyses at a level comprehensible to laymen and senior-level government representatives
Ability to clearly express in writing technical analysis results
Python and Tableau experience.

Nice To Haves

Demonstrated ability writing ICD 203 and ICD 206-compliant finished intelligence production
15 years of experience in solving DoD data science problems
Experience in the development of algorithms leveraging Python and SQL
Experience with developing solutions incorporating Large Language Models
Experience with Python data science and visualization packages
Experience with Excel MBA
Experience with AC2SP, R, GitHub, and Palantir
An active CI polygraph

Responsibilities

Provide data science, machine learning, and artificial intelligence support.
Conduct data engineering tasks to integrate multiple APIs, and support process automation, data visualization, and application integration.
Develop tools to automate data analysis of large data sets.
Combining multiple date sources into GUI (graphic user interface) and visual and geographical displays.
Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
Experience with analyzing structured and unstructured data sources
Experience with statistical and general-purpose programming languages for data analysis
Experience with developing predictive data models, quantitative analyses, and visualization of target data sources
Experience with leading the development of solutions to complex problems
Experience with natural language processing, text mining, or machine learning techniques
Experience implementing automation in processing, presenting, or manipulating data