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Hourly Python Data Science Jobs in New York, NY (NOW HIRING)

Lead Python Data Engineer Job Location: Rahway, NJ / WestPoint, PA Job Type: Contract Job Overview ... Bachelor s degree in Information Technology, Computer Science, or a related technology stream.

New

Mastery of Python and solid database/SQL expertise. * Hands-on experience with core AWS services ... Bachelor's degree in Information Technology, Computer Science, or a related technology stream.

New

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical ...

Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

They are seeking a Director of Data Science to lead the development and deployment of advanced AI ... languages such as Python, Spark, TensorFlow, and PyTorch • Experience with digital channel ...

... • Python for production-ready workflow development • Experience with Databricks or similar cloud-based big data platforms, e.g. Snowflake, BigQuery, Redshift • Experience building agentic ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ... Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

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Hourly Python Data Science information

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$14

$64

$94

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

As of Jul 19, 2026, the average hourly pay for hourly python data science in New York, NY is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 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.
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