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

Dstillery

Applied Researcher, Data Science

New York, NY · On-site +1

Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI ... You should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow ...

Dstillery

Applied Researcher, Data Science

New York, NY · On-site

Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI ... You should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow ...

Deloitte

Data Science Consultant

New York, NY

Proficiency in high level scripting language, such as Python or R * Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large ...

Deloitte

Data Science Consultant

Stamford, CT · On-site

Proficiency in high level scripting language, such as Python or R * Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large ...

LiveRamp

Co-Op, Data Science

New York, NY

$31 - $49/hr

Experience contributing to a mature Python-centric code base. * Strong command of common data ... Experience with Agile software development The approximate hourly base compensation range is $31.00 ...

Guru Schools

Data Scientist.

New York, NY · On-site

Solid background in data science (Python, Pandas, Scikit-learn, PyTorch/TensorFlow) * Experience in graph algorithms and network analysis * Hands-on with data modeling, ETL, and large-scale data ...

Tatari

Data Science Manager

New York, NY

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Tatari

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Deloitte

Data Science Consultant

Manhattan, NY · On-site

... as Python or R • Understanding of the strategic application of data science methodologies in ... driving valuable business outcomes for large enterprises • If you have code in the open domain ...

StubHub

Data Science Manager

New York, NY · On-site

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy ...

StubHub

Data Science Manager

New York, NY · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy ...

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

As of May 29, 2026, the average hourly pay for hourly python data science in Queens, NY is $61.17, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.47 per hour, depending on experience, location, and employer.

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 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 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 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 the most commonly searched types of Python Data Science jobs in Queens, NY? The most popular types of Python Data Science jobs in Queens, NY are:
What are popular job titles related to Hourly Python Data Science jobs in Queens, NY? For Hourly Python Data Science jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in Queens, NY look for? The top searched job categories for Hourly Python Data Science jobs in Queens, NY are:
What cities near Queens, NY are hiring for Hourly Python Data Science jobs? Cities near Queens, NY with the most Hourly Python Data Science job openings:
Hourly Python Data Science jobs near you

Senior Python Data Scraping Engineer (Freelance)

Mindrift

New York, NY • On-site, Remote

$45/hr

Part-time

Posted 2 days ago

Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
Key Responsibilities:
  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:
  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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