

Compest Solutions Inc.
Senior Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Scientist contract position in Woodlawn, Maryland, requiring expertise in Python, AI, ML, and Natural Language Processing. Candidates must obtain a Public Trust Clearance and have experience with large datasets and cloud-native applications on AWS.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
July 8, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Woodlawn, MD
-
π§ - Skills detailed
#DevOps #Forecasting #SQL Server #Hadoop #Databases #Visualization #PostgreSQL #Datasets #NLP (Natural Language Processing) #GIT #Pandas #Data Science #TensorFlow #Data Analysis #SpaCy #Scala #Spark (Apache Spark) #Data Engineering #AI (Artificial Intelligence) #Apache Spark #AWS (Amazon Web Services) #Data Pipeline #Matplotlib #Impala #EC2 #Azure #Anomaly Detection #Airflow #Automation #Programming #HTML (Hypertext Markup Language) #Apache Airflow #MySQL #Leadership #Regular Expressions #Web Services #Deployment #PyTorch #Cloud #ML (Machine Learning) #NLTK (Natural Language Toolkit) #Oracle #NumPy #R #SQL (Structured Query Language) #Python
Role description
Job title: Senior Data Scientist
Client: State client (Federal)
Location: Onsite Woodlawn, Maryland (Onsite β 5 Days/Week)
Position Type- Contract
Clearance Requirement
Selected candidate must be able to obtain and maintain a Public Trust Clearance.
βΈ»
Need expert in Python, AI, ML
Position Overview
We are seeking an experienced Senior Data Scientist with strong expertise in Natural Language Processing (NLP), Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate will have extensive hands-on experience developing scalable AI/ML solutions using Python and modern NLP frameworks while working with large, real-world datasets.
This role requires a highly motivated self-starter who can independently analyze complex business problems, build intelligent data solutions, collaborate with cross-functional teams, and deploy cloud-native AI applications on AWS.
βΈ»
Key Responsibilities
β’ Automated the generation of high-volume SUBFIT and FLEETFITT reports using RMarkdown, knitr, and Python, cutting manual reporting effort by over 60% and improving consistency.
β’ Performed statistical analyses to uncover trends, anomalies, and performance insights across Navy units, supporting strategic assessments and readiness forecasting.
β’ Built scalable data pipelines in Python and R using pandas, dplyr, and numpy to process large Navy operational datasets, reducing processing time by 40%.
β’ Design and deploy interactive dashboards and visualizations using ggplot2, Shiny, and matplotlib, enabling stakeholders to explore key metrics and insights in real time.
β’ Summarized analytical findings into readiness reports and briefing materials for senior leadership, helping inform resource allocation and mission planning decisions.
β’ Partnered with data scientists, psychologists, and program managers to align pipeline development and reporting automation with evolving operational requirements.
βΈ»
Required Technical Skills
Programming & Data Analysis
Python
SQL
Pandas
NumPy
Matplotlib
Git
Natural Language Processing
Natural Language Processing (NLP)
NLTK
spaCy
Regular Expressions
Text Annotation Tools
Semantic Frameworks
AI / Machine Learning
Generative AI
Large Language Models (LLMs)
TensorFlow
PyTorch
Scikit-learn
Supervised & Unsupervised Machine Learning
Model Training, Evaluation & Optimization
ML Deployment
MLOps
LLMOps
DevOps
Python Pipelines
Cloud & Data Engineering
Amazon Web Services (AWS)
Amazon EC2
Apache Spark
Apache Airflow
Semantic Search
Databases
SQL Server
Oracle
DB2
PostgreSQL
MySQL
SQLite
Hadoop
Flat Files
βΈ»
Required Soft Skills
Excellent verbal and written communication skills.
Strong analytical and problem-solving abilities.
Ability to work independently with minimal supervision.
Strong collaboration skills with cross-functional teams.
Ability to analyze complex datasets and provide actionable recommendations.
Experience communicating technical findings to executive leadership.
βΈ»
Preferred Qualifications
Experience supporting Federal or State Government IT projects.
Industry experience in Data Science or Artificial Intelligence.
Experience with Hadoop ecosystem technologies including Spark, Hive, and Impala.
Experience working in analytical research environments.
Experience with GPU programming using CUDA.
Experience with Mathematica.
Experience with markup languages such as HTML and LaTeX.
Experience applying NLP techniques for anomaly detection.
Experience with Azure ML.
βΈ»
Work Authorization & Additional Requirements
Must be eligible to obtain and maintain a Public Trust Clearance.
Must be willing to work onsite in Woodlawn, MD, five days per week.
Strong communication skills are required for interaction with technical teams, business stakeholders, and executive leadership
Regards,
Ashraf
Email: ashraf@compestsolutions.com
D: 647-660-7562
Job title: Senior Data Scientist
Client: State client (Federal)
Location: Onsite Woodlawn, Maryland (Onsite β 5 Days/Week)
Position Type- Contract
Clearance Requirement
Selected candidate must be able to obtain and maintain a Public Trust Clearance.
βΈ»
Need expert in Python, AI, ML
Position Overview
We are seeking an experienced Senior Data Scientist with strong expertise in Natural Language Processing (NLP), Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate will have extensive hands-on experience developing scalable AI/ML solutions using Python and modern NLP frameworks while working with large, real-world datasets.
This role requires a highly motivated self-starter who can independently analyze complex business problems, build intelligent data solutions, collaborate with cross-functional teams, and deploy cloud-native AI applications on AWS.
βΈ»
Key Responsibilities
β’ Automated the generation of high-volume SUBFIT and FLEETFITT reports using RMarkdown, knitr, and Python, cutting manual reporting effort by over 60% and improving consistency.
β’ Performed statistical analyses to uncover trends, anomalies, and performance insights across Navy units, supporting strategic assessments and readiness forecasting.
β’ Built scalable data pipelines in Python and R using pandas, dplyr, and numpy to process large Navy operational datasets, reducing processing time by 40%.
β’ Design and deploy interactive dashboards and visualizations using ggplot2, Shiny, and matplotlib, enabling stakeholders to explore key metrics and insights in real time.
β’ Summarized analytical findings into readiness reports and briefing materials for senior leadership, helping inform resource allocation and mission planning decisions.
β’ Partnered with data scientists, psychologists, and program managers to align pipeline development and reporting automation with evolving operational requirements.
βΈ»
Required Technical Skills
Programming & Data Analysis
Python
SQL
Pandas
NumPy
Matplotlib
Git
Natural Language Processing
Natural Language Processing (NLP)
NLTK
spaCy
Regular Expressions
Text Annotation Tools
Semantic Frameworks
AI / Machine Learning
Generative AI
Large Language Models (LLMs)
TensorFlow
PyTorch
Scikit-learn
Supervised & Unsupervised Machine Learning
Model Training, Evaluation & Optimization
ML Deployment
MLOps
LLMOps
DevOps
Python Pipelines
Cloud & Data Engineering
Amazon Web Services (AWS)
Amazon EC2
Apache Spark
Apache Airflow
Semantic Search
Databases
SQL Server
Oracle
DB2
PostgreSQL
MySQL
SQLite
Hadoop
Flat Files
βΈ»
Required Soft Skills
Excellent verbal and written communication skills.
Strong analytical and problem-solving abilities.
Ability to work independently with minimal supervision.
Strong collaboration skills with cross-functional teams.
Ability to analyze complex datasets and provide actionable recommendations.
Experience communicating technical findings to executive leadership.
βΈ»
Preferred Qualifications
Experience supporting Federal or State Government IT projects.
Industry experience in Data Science or Artificial Intelligence.
Experience with Hadoop ecosystem technologies including Spark, Hive, and Impala.
Experience working in analytical research environments.
Experience with GPU programming using CUDA.
Experience with Mathematica.
Experience with markup languages such as HTML and LaTeX.
Experience applying NLP techniques for anomaly detection.
Experience with Azure ML.
βΈ»
Work Authorization & Additional Requirements
Must be eligible to obtain and maintain a Public Trust Clearance.
Must be willing to work onsite in Woodlawn, MD, five days per week.
Strong communication skills are required for interaction with technical teams, business stakeholders, and executive leadership
Regards,
Ashraf
Email: ashraf@compestsolutions.com
D: 647-660-7562






