Omm2534J

Omm IT Solutions; Fort Meade (MD); On-site; USD 120,000 - 150,000; Full time

Job summary

Omm IT Solutions is seeking a Data Scientist Level 2 in Fort Meade, MD. The role focuses on developing machine learning, data mining, and statistical algorithms to analyze datasets and provide data-driven insights to customers. Collaboration with SMEs and production integration are key aspects of the role.

Required active TS/SCI and Full Scope Poly clearance; experience with R, Python, SAS, or MATLAB is expected. This position is on-site at Ft.

Qualifications

• Requires a Bachelor's degree in statistics, mathematics, operations research, engineering, or computer science from an accredited college or university.
• Eight years of relevant analytics experience; five years programming with data analysis software such as R, Python, SAS, or MATLAB.
• A Master's degree may substitute for two years of experience; PhD may substitute for four years; additional substitutions for twelve years total experience are possible.

Responsibilities

• Produce data visualizations that provide insight into dataset structure and meaning.
• Collaborate with SMEs to extract information from data formats (SQL tables, structured metadata, network logs).
• Develop feature vectors for analytic development and testing.
• Translate qualitative goals into quantitative formulations coded into prototypes.
• Develop and implement statistical, machine learning, and heuristic techniques for descriptive, predictive, and prescriptive analytics.
• Develop statistical tests to support data-driven recommendations.
• Develop experiments to collect data or simulate data when needed.
• Evaluate analytics performance using standard metrics such as ROC, confusion matrices.
• Collaborate with software engineers and cloud developers to productionize analytics.

Skills

Python

R

Machine Learning

Education

Bachelor's degree in statistics, mathematics, operations research, engineering, or computer science

Master's degree substituted for two years of experience

PhD substituted for four years of experience

Additional four years of experience in lieu of a Bachelor's degree

Tools

SQL

MATLAB

SAS

Job description

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

Data Scientist Level 2

Ft. Meade, Maryland, United States | Posted on 05/21/2025

• Job Type Permanent W-2 Employee / Corp2Corp Contractor
• Compensation Negotiable
• State/Province Maryland
• City Ft. Meade, Maryland
• Country United States
• Work Authorization Only US Citizen
• Background Check/Public Trust Clearance Active TS/SCI and Full Scope Poly Clearance
• Job Opening ID Omm2534J

Job Description

Clearance:

Active TS/SCI and Full Scope Polygraph Clearance Required (Expired within 18 Months is also acceptable)

About the Role:

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.

Develop experiments to collect data or models to simulate data when required data are unavailable.

Develop feature vectors for input into machine learning algorithms.

Identify the most appropriate algorithm for a given dataset and tune input and model parameters.

Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).

Evaluate individual analytic efforts and make recommendations in the analytic development

process.

Recommend solutions that can scale to large datasets.

Collaborate with software engineers, cloud developers, and appropriate stakeholders to develop production analytics.

Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

Requirements

Required Education & Years of Experience:

• Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university, eight (8) years of relevant experience analyzing datasets and developing analytics, and five (5) years of relevant 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 reducing the requirement to six (6) years of relevant experience analyzing datasets and developing analytics, and three (3) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to four (4) years of relevant experience analyzing datasets and developing analytics, and one (1) year of 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 twelve (12) years of relevant experience analyzing datasets and developing analytics, and nine (9) 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, engineering, or computer science) from an accredited college or university, eight (8) years of relevant experience analyzing datasets and developing analytics, and five (5) years of relevant 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 reducing the requirement to six (6) years of relevant experience analyzing datasets and developing analytics, and three (3) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to four (4) years of relevant experience analyzing datasets and developing analytics, and one (1) year of 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 twelve (12) years of relevant experience analyzing datasets and developing analytics, and nine (9) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.