SME III Data Scientist

Koniag Government Services•Arlington, VA

1d•Onsite

About The Position

Koniag Management Solutions, LLC a Koniag Government Services company, is seeking a SME III Data Scientist with a TS/SCI security clearance to support KMS and our government customer at the Pentagon, Arlington, VA. This position is for a Future New Business Opportunity. We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more. Work Experience, Knowledge, Skills & Abilities: Fifteen (15) years’ experience as a data scientist. Fifteen (15) years’ experience with expert-level proficiency in data science programming languages such as Python and/or /Strong experience with data querying languages (e.g., Structured Query Language (SQL)) and working with large-scale datasets. Fifteen (15) years’ experience with extensive theoretical knowledge and practical experience in developing and deploying machine learning models.Demonstrated specific, hands-on experience with Large Language Models (LLMs) is required. Fifteen (15) years’ experience with a mastery of statistical methods, including hypothesis testing, regression, classification, and clustering techniques. Ten (10) years’ experience using data visualization libraries and platforms (e.g., 16 Matplotlib, Seaborn, Plotly, Tableau) to create impactful reports and dashboards. Ten (10) years’ experience managing the entire data science project lifecycle: from problem definition and data collection to model deployment and communication of findings.

Requirements

Fifteen (15) years’ experience as a data scientist.
Fifteen (15) years’ experience with expert-level proficiency in data science programming languages such as Python and/or /Strong experience with data querying languages (e.g., Structured Query Language (SQL)) and working with large-scale datasets.
Fifteen (15) years’ experience with extensive theoretical knowledge and practical experience in developing and deploying machine learning models.
Demonstrated specific, hands-on experience with Large Language Models (LLMs) is required.
Fifteen (15) years’ experience with a mastery of statistical methods, including hypothesis testing, regression, classification, and clustering techniques.
Ten (10) years’ experience using data visualization libraries and platforms (e.g., 16 Matplotlib, Seaborn, Plotly, Tableau) to create impactful reports and dashboards.
Ten (10) years’ experience managing the entire data science project lifecycle: from problem definition and data collection to model deployment and communication of findings.
Master’s degree from an accredited college or university in engineering or science discipline relevant to the field of data science.
TS/SCI (SAP eligible)