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Hourly Python Data Science Jobs in Baltimore, MD

SWE3 - Data Science

Laurel, MD · On-site

$200K - $275K/yr

Experience with Java, Scala, and Python * Experience with Lucene, JEXL, SQL, JSON * Random Forest ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

Associate Director of Data Science

Columbia, MD · On-site

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data ... Hands-on programming experience with Python and SQL. * Demonstrated leadership and team management ...

Experience with Java, Scala, and Python * Experience with Lucene, JEXL, SQL, JSON * Random Forest ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

SWE3 - Data Science

Laurel, MD · On-site

$200K - $275K/yr

Experience with Java, Scala, and Python * Experience with Lucene, JEXL, SQL, JSON * Random Forest ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data ... Hands-on programming experience with Python and SQL. * Demonstrated leadership and team management ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

Data Scientist 4

Annapolis, MD · On-site

$212K - $267K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe in providing ...

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe in providing ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

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Hourly Python Data Science information

See Baltimore, MD salary details

$13

$58

$85

How much do hourly python data science jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for hourly python data science 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 the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What are Hourly Python Data Science jobs?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are some common challenges faced by hourly Python Data Science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are the key skills and qualifications needed to thrive as an Hourly Python Data Science professional, and why are they important?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.
What are the most commonly searched types of Python Data Science jobs in Baltimore, MD? The most popular types of Python Data Science jobs in Baltimore, MD are:
What are popular job titles related to Hourly Python Data Science jobs in Baltimore, MD? For Hourly Python Data Science jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in Baltimore, MD look for? The top searched job categories for Hourly Python Data Science jobs in Baltimore, MD are:
Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Annapolis Junction, MD • On-site

Full-time

Posted 20 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 428 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance its operations and improve the lives of citizens. The Data Science Practitioner role involves developing data-driven solutions, conducting statistical analyses, and collaborating with teams to deliver actionable insights for various government missions.
Responsibilities:
• Develop and implement data-driven solutions using programming languages such as Python and R
• Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
• Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
• Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
• Collaborate with cross-functional teams to understand business needs and deliver actionable insights
Qualifications:
Required:
• Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
• 4 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
• A PhD from an accredited college or university in a quantitative discipline can be substituted for four 4 years of experience
• 14 years of experience in software engineering in similar programs and contracts
• 5 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
• Must have an active TS/SCI with polygraph level clearance
Preferred:
• Familiarity with libraries like NumPy, pandas, and advanced visualization tools
• Experience analyzing datasets and developing analytics
• Experience in creating impactful data visualizations and reports for stakeholders
• Ability to work independently and in a collaborative team environment
• Strong foundation in statistics and probability, including regression analysis and hypothesis testing
• Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
• Expertise in data wrangling to prepare raw data for analysis
• Excellent problem-solving and analytical skills
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Accenture Federal Services employees say

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