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Hourly Python Data Science Jobs in Philadelphia, PA

Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

... SQL, Python, Tableau, Databricks, AI/ML, Telecom industry experience Optional Skills: - Power BI, Spark, ETL/ELT, Cloud Technologies Education: - Bachelor's or Master's degree in Data Science ...

Varsity Tutors

Python Tutor

Trenton, NJ · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Chester, PA · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Iff

AI & Data Scientist

Wilmington, DE

Strong expertise in data architecture, data modeling and modern data science methodologies. * Advanced proficiency in Python, SQL and data integration, transformation and automation tools.

Dlapiper

Data Scientist

Wilmington, DE · On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Dlapiper

Data Scientist

Philadelphia, PA · On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

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Hourly Python Data Science information

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$59

$87

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

As of Sep 10, 2026, the average hourly pay for hourly python data science in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What is an hourly Python data science job?

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 the key skills and qualifications needed to thrive as an hourly Python data science professional?

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 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 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 cities near Philadelphia, PA are hiring for Hourly Python Data Science jobs?

Cities near Philadelphia, PA with the most Hourly Python Data Science job openings:

Hourly Python Data Science jobs near you
Infographic showing various Hourly Python Data Science job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,040 per year, or $59.2 per hour.

Data Scientist

Philadelphia, PA • On-site

Winaxis
IT Services • 11 - 50 employees
Learn more about Winaxisexternal

$60/hr

Contractor

Re-posted 5 hours ago

Job description

Job Summary – Data Scientist (Philadelphia, PA)
- Location: Philadelphia, PA (Local candidates only)
- Duration: Long-term contract
- Client: UST Global/Comcast
- Rate: Up to $60/hr on C2C
- Visa: No CPT/OPT; all others considered
Key Responsibilities:
- Leverage 6+ years of experience in data analytics, with substantial telecom industry exposure.
- Analyze and manipulate large datasets using advanced SQL and Python (pandas, numpy, etc.).
- Apply AI/ML techniques, including familiarity with frameworks like scikit-learn or TensorFlow, and exposure to Large Language Models (LLMs) and NLP.
- Create compelling dashboards and visualizations in Tableau or Power BI, communicating insights to non-technical stakeholders.
- Utilize Databricks (or Spark) for distributed data processing and manage large-scale/big data (e.g., telecom network data, high-volume transactions).
- Ensure high data quality, accuracy, and governance in all analytics projects.
- Align analysis with business strategy, provide actionable insights, and present recommendations to leadership.
- Work independently on projects and collaborate effectively with cross-functional teams (e.g., data engineers, product managers).
Mandatory Skills:
- SQL, Python, Tableau, Databricks, AI/ML, Telecom industry experience
Optional Skills:
- Power BI, Spark, ETL/ELT, Cloud Technologies
Education:
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Business, or related field (or equivalent experience/certifications).
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