Data Scientist Level 1
Data Scientist Level 1
Posted on :
11-04-2025
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1 Vacancy
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Job Description
Clearance:
- Active TS/SCI and Full Scope Polygraph Clearance Required (Expired within 18 Months is also acceptable)
Job Description:
A data scientist will develop machine learning data mining statistical and graphbased algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide datadriven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.
Responsibilities:
- Produce data visualizations that provide insight into dataset structure and meaning.
- Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g. SQL tables structured metadata network logs).
- Incorporate SME input into feature vectors suitable for analytic development and testing.
- Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
- Develop and implement statistical machine learning and heuristic techniques to create descriptive predictive and prescriptive analytics.
- Develop statistical tests to make datadriven recommendations and decisions.
Requirements
Required Education & Years of Experience:
- Requires a Bachelors degree in a relevant discipline (e.g. statistics mathematics operations research and engineering or computer science) from an accredited college or university and four 4 years of experience analyzing datasets and developing analytics and two 2 year of experience programming with data analysis software such as R Python SAS or MATLAB.
- A Masters degree in relevant discipline may be substituted for two 2 years of relevant experience analyzing datasets and developing analytics and one 1 year of relevant experience programming with data analysis software such as R Python SAS or MATLAB.
- In lieu of a Bachelors Degree an additional four 4 years of relevant experience may be substituted for a total of eight 8 years of relevant experience analyzing datasets and developing analytics and two 2 years of experience programming with data analysis software such as R Python SAS or MATLAB.
Employment Type
Full-Time
Key Skills
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