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Contract Python Data Analysis Jobs in Baltimore, MD

Solid Python, Regex, and SQL experience * Excellent Communication skills Position Description * Develop Analytics Solutions: Design, implement, and maintain advanced data processing and entity ...

New

Contract Job Summary: We are seeking a highly skilled Data Scientist with strong expertise in ... Python libraries such as Pandas, NumPy, and Scikit-learn for data processing and analysis.

Strong data analysis skills and knowledge of data processing. * Advanced experience with FE Splunk ... Experience working with Python. - What You Can Expect: A culture of integrity. At CACI, we place ...

Sr Data Scientist

Woodlawn, MD · On-site

$125K - $195K/yr

Strong Python development skills for building analytics solutions and manipulating data. Advanced SQL proficiency for complex data querying, optimization, and database operations. Practical ...

New

As a Data Analyst on the contract's Enterprise Architecture Team, you will collaborate closely with ... Python tools and models. * Familiarity with DoD Architectural Framework (DoDAF) and model-based ...

As a Data Analyst on the contract's Enterprise Architecture Team, you will collaborate closely with ... Python tools and models. * Familiarity with DoD Architectural Framework (DoDAF) and model-based ...

Data Analyst

Odenton, MD · On-site

$59.15 - $106.93/hr

As a Data Analyst on the contract's Enterprise Architecture Team, you will collaborate closely with ... Python tools and models. * Familiarity with DoD Architectural Framework (DoDAF) and model-based ...

New

Data Analyst

Annapolis, MD · On-site

$130K - $190K/yr

... Data Analysis or Data Science. * Professional experience developing and scripting in Python ... Citizenship due to contract requirements. Benefits : AV offers an excellent benefits package ...

Data Analyst

Annapolis Junction, MD · On-site

$130K - $190K/yr

... Data Analysis or Data Science. * Professional experience developing and scripting in Python ... Citizenship due to contract requirements. Benefits : AV offers an excellent benefits package ...

Showing results 21-40

Contract Python Data Analysis information

See Baltimore, MD salary details

$13

$58

$85

How much do contract python data analysis jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for contract python data analysis in Baltimore, MD is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $66.15 per hour, depending on experience, location, and employer.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Baltimore, MD?

The most popular types of Python Data Analysis jobs in Baltimore, MD are:

What are popular job titles related to Contract Python Data Analysis jobs in Baltimore, MD?

For Contract Python Data Analysis jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Baltimore, MD look for?

The top searched job categories for Contract Python Data Analysis jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Contract Python Data Analysis jobs?

Cities near Baltimore, MD with the most Contract Python Data Analysis job openings:

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This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Title: Data Scientist
Location: Woodlawn, MD-Onsite
1 Video Interview, and one onsite interview
Must be able to obtain and maintain a public trust clearance
**Master''s and 10+ years of experience, Bachelor''s and 12+ years of experience or 18+ years in lieu of a degree**
ABOUT THE ROLE:

  • NLP, Entity Resolution & Text Processing
  • Python Engineering & Data Pipeline Development
  • Advanced SQL & Large-Scale Data Management
  • Need Excellent communication skills


Description:


ABOUT THE ROLE:

  • NLP, Entity Resolution & Text Processing
  • Python Engineering & Data Pipeline Development
  • Advanced SQL & Large-Scale Data Management
  • Need Excellent communication skills


Description:
Senior Data Scientist

Key Required Skills

  • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction concepts including Named Entity Recognition, Blocking and Indexing, String Distance Metrics, TF-IDF/Cosine Similarity, Phonetics Encoding, Address Standardization
  • Solid Python, Regex, and SQL experience
  • Excellent Communication skills

Position Description

  • Develop Analytics Solutions: Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL on enterprise data platforms.
  • Data Hygiene & Management: Clean, transform, and manage large-scale datasets from diverse, complex sources, ensuring absolute data integrity, reliability, and security.
  • Performance Optimization: Optimize complex SQL queries and database operations to ensure efficient data access, processing, and scalability.
  • Engineering Standards: Actively participate in code reviews, enforce version control, and uphold best practices for code quality, reproducibility, and data privacy.
  • End-to-End Delivery: Support data validation, testing, deployment, and post-implementation monitoring in a fast-paced environment.

Detailed Skills Requirements

Foundation for Success (Basic Qualifications)

  • Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized libraries/frameworks.
  • Overall 10+ years’ experience in IT industry

Factors To Help You Shine (Required Skills)

  • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction including:
    • Practical knowledge of Named Entity Recognition and Address Standardization to extract and clean unstructured text data.
    • Deep understanding of data matching strategies, including Blocking and Indexing, String Distance Metrics, and Phonetic Encoding.
    • Experience applying TD-IDF and Cosine Similarity for text comparisons and information retrieval.
  • Strong Python development skills for building analytics solutions and manipulating data.
  • Advanced SQL proficiency for complex data querying, optimization, and database operations.
  • Practical experience using Regex for advanced text processing, data cleansing, and pattern matching.
  • Familiarity with specialized libraries and frameworks including:
    • Linkage libraries such as Splink / FastLink, Dedupe, or recordlinkage
    • Core Python data science libraries, specifically spaCy for NLP tasks and Scikit-Learn for general machine learning and clustering
  • Familiarity with code reviews, version control, and maintaining data security and reproducibility standards.
  • Excellent communication skills.

How To Stand Out From The Crowd (Desired Skills)?

  • Prior experience delivering IT or data initiatives within federal, state, or local government environments
  • Proven ability to operate independently, take ownership of data pipeline architectures, and drive projects from data discovery through to post-implementation.
  • Experience retrieving, migrating, and manipulating data from legacy and distributed systems, including PostgreSQL, DB2, Oracle, SQL Server, and Hadoop, as well as unstructured flat files.
  • Experience utilizing Jenkins to automate continuous integration, testing, and deployment (CI/CD) for data validation pipelines.
  • Experience with pipeline automation tools to schedule and monitor complex data cleansing jobs.
  • Strong ability to translate complex algorithmic decisions (such as probabilistic match thresholds) into clear business logic for executive leadership and non-technical stakeholders.
  • Excellent problem-solving skills and proven verbal/written communication skills when collaborating across cross-functional teams.