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Hourly Python Data Science Jobs in Philadelphia, PA

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

... Data Science: Experience building solutions using LLMs, agentic systems, prompt engineering, model fine-tuning, RAG architectures, and AI evaluation frameworks. * Strong programming skills in Python ...

Munich Re

Data Scientist

Philadelphia, PA · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

United States Cold Storage

Data Scientist

Camden, NJ

$105K - $130K/hr

... science, machine learning, or advanced analytics roles * Strong programming skills in Python ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

United States Cold Storage

Data Scientist

Camden, NJ

$105K - $130K/hr

... science, machine learning, or advanced analytics roles * Strong programming skills in Python ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

USCS

Data Scientist

Camden, NJ · On-site

$105K - $130K/yr

... science, machine learning, or advanced analytics roles * Strong programming skills in Python ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

United States Cold Storage

Data Scientist

Camden, NJ · On-site

$105K - $130K/yr

... science, machine learning, or advanced analytics roles * Strong programming skills in Python ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

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Hourly Python Data Science information

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

As of Sep 11, 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, Specialist

Philadelphia, PA • On-site

Vangard, Inc.
Convention and Trade Show Organizers • 11 - 50 employees
Learn more about Vangard, Inc.external

Full-time

Re-posted 18 days ago

Job description

Core Responsibilities

  • Build and enhance AI-powered Digital Twins that simulate customer behavior, preferences, and decision-making.

  • Lead analytic and AI initiatives that improve simulation fidelity, business relevance, and predictive accuracy through experimentation, validation, and real-world outcome measurement.

  • Apply behavioral science, customer research, UX insights, and marketing analytics to develop and refine human-centered AI models.

  • Develop and optimize LLM, RAG, and agentic AI solutions, including data preparation, evaluation frameworks, prompt engineering, and model performance measurement.

  • Partner with Product, Marketing, Analytics, UX Research, and Technology teams to translate business problems into scalable AI and data science solutions. Communicate findings and recommendations to stakeholders and mentor junior data scientists and analysts.
    Qualifications
    Required

  • Minimum five years of experience in Data Science, Analytics, Machine Learning, Marketing Analytics, or a related quantitative field.

  • Demonstrated strength in at least one of the following areas:Analytics: Deep problem-solving experience in marketing, customer behavior, UX research, survey analysis, experimentation, behavioral science, or related domains.

  • Applied AI / Data Science: Experience building solutions using LLMs, agentic systems, prompt engineering, model fine-tuning, RAG architectures, and AI evaluation frameworks.

  • Strong programming skills in Python and SQL, along with a solid foundation in statistics, machine learning, and experimental design.

  • Strong communication skills with the ability to translate complex analytical findings into actionable business recommendations.
    Preferred

  • Experience developing AI systems that model, simulate, or predict human behavior, preferences, or decision-making.

  • Experience building Digital Twins, synthetic personas, synthetic customers, or similar human simulation capabilities.

  • Experience measuring alignment between AI predictions and real-world outcomes and improving model performance through experimentation and validation.

  • Advanced degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Behavioral Science, Psychology, or a related field.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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