Omm2533J

Omm IT Solutions; Fort Meade (MD); On-site; USD 85,000 - 110,000; Full time

Job summary

Omm IT Solutions in Ft. Meade, MD seeks a Data Scientist Level 1 for a permanent W-2/Corp2Corp role. The candidate will develop ML, data mining, and statistical models to deliver data-driven insights for customers, and translate SME input into automated analytics.

The position requires a Bachelor's degree in a relevant field and four years of analytics experience; a Master's can substitute for two years, or eight years with no degree. Active TS/SCI with Full Scope Poly clearance is required.

Qualifications

• Requires a Bachelor's degree in statistics, mathematics, operations research, engineering or computer science with four years of analytics experience.
• A Master’s degree may substitute for two of the years of experience and one year of programming with data analysis software such as R, Python, SAS, or MATLAB.
• In lieu of a Bachelor’s Degree, an additional four years of relevant experience may substitute for a total of eight years of analytics experience and two years of programming experience.

Responsibilities

• Produce data visualizations that provide insight into dataset structure and meaning.
• Collaborate with SMEs to identify important information in raw data and develop scripts to extract this information.
• Incorporate SME input into feature vectors for analytic development and testing.
• Translate customer qualitative goals into quantitative models coded into software prototypes.
• Develop statistical, machine learning, and heuristic techniques for descriptive, predictive, and prescriptive analytics.

Skills

Machine Learning

Data Mining

Statistics

Graph Algorithms

Python

R

SAS

MATLAB

Education

Bachelor's degree

Master's degree substitution

Eight years experience substitute

Tools

Python

R

SAS

MATLAB

Job description

Omm IT Solutions | Permanent W-2 Employee / Corp2Corp Contractor

Data Scientist Level 1

Ft. Meade, United States | Posted on 04/07/2025

• Job Type Permanent W-2 Employee / Corp2Corp Contractor
• Compensation Negotiable
• State/Province Maryland
• City Ft. Meade
• Country United States
• Work Authorization Only US Citizen
• Background Check/Public Trust Clearance Active TS/SCI and Full Scope Poly Clearance
• Job Opening ID Omm2533J

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 graph-based 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 data-driven 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 data-driven recommendations and decisions.
  

Requirements

Required Education & Years of Experience:

• Requires a Bachelor's 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 Master's 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 Bachelor’s 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.
  

Education/Work Experience

Requires a Bachelor's 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.