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Entry Level Political Science Data Analytics Jobs in Maryland

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Experience in data preprocessing, data analysis, and model building. * Understanding of machine ... Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

Experience in data science, analytics, or quantitative intelligence analysis with progressive technical development and outcomes. * Proficiency in one or more scripting languages such as Python.

Analygence

Data Scientist II

Fulton, MD · On-site

This role will develop automated predictive analytical models, statistical analysis capabilities, databases, and data science solutions that transform complex data assets into actionable insights.

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All JobsPolitical Science Data Analytics JobsEntry Level Political Science Data Analytics JobsEntry Level Political Science Data Analytics Jobs in Maryland

Entry Level Political Science Data Analytics information

What is the difference between Entry Level Political Science Data Analytics vs Entry Level Public Policy Data Analyst?

AspectEntry Level Political Science Data AnalyticsEntry Level Public Policy Data Analyst
Required CredentialsBachelor's in Political Science, Data Analytics, or related fieldBachelor's in Public Policy, Political Science, or related field
Work EnvironmentGovernment agencies, research institutions, think tanksGovernment agencies, NGOs, policy organizations
Employer & Industry UsageAnalyzing political data, voter behavior, policy impactsEvaluating policy proposals, program outcomes, legislative data

Both roles involve analyzing data within political and policy contexts, often requiring similar educational backgrounds. However, Political Science Data Analytics focuses more on political data and voter analysis, while Public Policy Data Analysts concentrate on evaluating policy effectiveness and legislative impacts. The choice depends on your specific interest in political processes versus policy evaluation.

What are the most commonly searched types of Political Science Data Analytics jobs in Maryland?

The most popular types of Political Science Data Analytics jobs in Maryland are:

Entry Level Political Science Data Analytics jobs near you
Infographic showing various Entry Level Political Science Data Analytics job openings in Maryland as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution.

Data Scientist

Tror AI for everyone

Baltimore, MD • On-site

Contractor

Re-posted 2 days ago

Job description

Job Title: Data Scientist

Location: Baltimore, MD (Onsite)

Hiring Type: Contract

Job Summary: We are seeking a highly skilled Data Scientist with strong expertise in Python, NLP, and Generative AI. The ideal candidate will have hands-on experience in building intelligent models using Natural Language Processing (NLP) techniques, working with large datasets, and leveraging LLMs (Large Language Models) to solve real-world business problems.


Key Responsibilities:
•Design, develop, and deploy machine learning and NLP models for text-based applications.
•Work extensively with Python libraries such as Pandas, NumPy, and Scikit-learn for data processing and analysis.
•Implement and optimize NLP techniques using tools like NLTK, SpaCy, or Transformers.
•Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks.
•Perform data cleaning, preprocessing, and feature engineering on structured and unstructured datasets.
•Develop pipelines for model training, evaluation, and deployment.
•Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
•Stay updated with the latest advancements in AI, NLP, and Gen AI technologies.
 

Required Skills & Qualifications:
•Strong programming experience in Python.
•Hands-on experience with NLP (Natural Language Processing) techniques.
•Proficiency in libraries such as NLTK, Pandas, NumPy, Scikit-learn.
•Experience working with LLMs (e.g., GPT, BERT, etc.).
•Knowledge of Generative AI concepts and frameworks.
•Experience in data preprocessing, data analysis, and model building.
•Understanding of machine learning algorithms and model evaluation techniques.
•Strong problem-solving and analytical skills.
 

Preferred Qualifications:
•Experience with Deep Learning frameworks like TensorFlow or PyTorch.
•Familiarity with Hugging Face Transformers or similar libraries.
•Experience in deploying models using APIs or cloud platforms (AWS, Azure, GCP).
•Knowledge of MLOps practices and model lifecycle management.
 

Education Details:
•Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.