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Freelance Python Web Scraping Jobs in California

daydream Labs, Inc

AI Engineer

San Francisco, CA · On-site

$180K - $220K/yr

... scale web scraping for Facebook Jobs and Meta Reality Labs. * Vishruth (Founding Applied AI ... Work primarily across LLM-driven systems, data pipelines, and AI-enabled services, using Python ...

Anthropic

Threat Collections Engineer

San Francisco, CA · On-site +1

$300K - $320K/yr

Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and ... Familiarity with web scraping and data extraction at scale * Experience with behavioral analytics ...

Socure

Head of Growth Engineering

San Francisco, CA · On-site

$195K - $225K/yr

... scraping for negative sentiment and/or market shifts that can be leveraged to out-position the ... Automate prospecting workflows using innovative tools like clay.io, GenAI agents, and web scrapers ...

JLab Audio

Junior Developer

Carlsbad, CA · On-site

$31.25 - $40.86/hr

... freelance) * Strong proficiency in at least one modern programming language such as JavaScript, Python, or PHP; additional languages a plus * Experience using modern AI tools and models to enhance ...

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Freelance Python Web Scraping information

What are the key skills and qualifications needed to thrive as a Freelance Python Web Scraping specialist, and why are they important?

To thrive as a Freelance Python Web Scraping specialist, you need strong programming skills in Python, a deep understanding of web protocols, and knowledge of data extraction techniques. Familiarity with libraries like BeautifulSoup, Scrapy, Selenium, and experience using APIs, along with basic knowledge of version control systems like Git, is typically required. Problem-solving, attention to detail, and effective communication are crucial soft skills for managing client requirements and navigating technical challenges. These skills ensure efficient, ethical, and accurate data extraction, which is vital for delivering reliable results to clients.

What are some common challenges faced by freelance Python web scraping professionals, and how can they be addressed?

Freelance Python web scraping professionals often encounter challenges such as dealing with websites that have anti-scraping measures, handling frequent changes in website structures, and managing large volumes of data efficiently. To address these issues, it's important to stay updated with the latest scraping libraries and techniques, utilize rotating proxies and user-agent strings, and write modular code that can be easily adapted when websites update their layouts. Additionally, maintaining clear communication with clients about legal considerations and project scope helps set realistic expectations and ensures a smooth workflow.

What is freelance Python web scraping?

Freelance Python web scraping involves using the Python programming language to extract data from websites on a project or contract basis, rather than as a full-time employee. Freelancers in this field use libraries like BeautifulSoup, Scrapy, or Selenium to gather, parse, and organize data from various web sources according to client needs. Projects can range from collecting product prices, aggregating news articles, monitoring social media trends, or compiling research datasets. Freelance web scrapers must ensure they comply with relevant legal and ethical guidelines, as well as website terms of service. The work requires technical proficiency, problem-solving skills, and clear communication with clients.

What is the difference between Freelance Python Web Scraping vs Freelance Data Analyst?

AspectFreelance Python Web ScrapingFreelance Data Analyst
Skills & CredentialsPython, web scraping libraries, basic data handlingExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote, project-based, client-specificRemote or on-site, consulting or project-based
Industry UsageWeb data extraction for research, marketing, or business insightsData interpretation, reporting, and strategic recommendations

Freelance Python Web Scraping focuses on extracting data from websites using Python, while Freelance Data Analysts interpret and analyze data to provide insights. Both roles often work remotely and require technical skills, but their core functions differ: one is data collection, the other is data analysis.

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

Senior Data Scientist - AI

Arrowhead Programs

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
Arrowhead Intermediaries is looking for a Senior Data Scientist to join our Data & Analytics Team!
Join us as a Senior Data Scientist, with a strong focus on how AI and large language models can help a business win - not just how to run a better model. You are comfortable bridging the gap between cutting-edge technology and practical business constraints, asking questions that actuaries, underwriters, and business leaders haven't thought to ask yet, and finding ways to answer them. You take ownership of outcomes and not just outputs. This is an opportunity to shape how a leading global insurance intermediary thinks about AI-driven underwriting that improves risk selection, enhances pricing models, and drives profitability across our property and casualty insurance products.
You will use generative AI as a force multiplier - enabling you to independently prototype data pipelines, unlock alternative data sources, and deliver end-to-end solutions that would traditionally require multiple engineering handoffs. You are proactively identifying where AI can move the needle on underwriting profitability and risk selection.
Most importantly, you are a team player. You value working in a collaborative environment, helping others succeed and contributing to shared outcomes with humility, curiosity, and clear communication.
JOB DUTIES:
  • Identify, extract, and integrate non-traditional data sources into underwriting and pricing workflows using generative AI, LLMs, and AI-assisted pipeline development
  • Prototype, build, and iterate on data enrichment pipelines rapidly, validating signal quality and relevance before integration into production models - expanding the team's data capabilities without traditional engineering dependencies.
  • Design, build, and maintain advanced predictive models for risk frequency, severity, and loss ratio that directly inform point-of-sale underwriting decisions.
  • Collaborate closely with actuaries and fellow data scientists to ensure all models are actuarially sound, statistically defensible, and aligned with pricing objectives.
  • Own models end-to-end - from hypothesis formation and data collection through to production deployment and ongoing monitoring.
  • Apply the latest generative AI tools, agentic frameworks, and LLM capabilities to real underwriting and pricing problems - staying current on developments and evaluating new approaches proactively.
  • Ensure all solutions are maintainable, well-documented, and consistent with established team standards for reproducibility and deployment.
  • Partner directly with underwriters and business leaders to understand portfolio needs, translate business problems into analytical solutions, and communicate findings clearly to non-technical stakeholders.
  • Serve as a technical authority and mentor for the broader data science team - elevating the team's fluency in generative AI tooling and best practices.
  • Contribute to a collaborative, standards-driven team environment where your work can be maintained and built upon by others.

Basic Qualifications:
  • 5+ years of experience in data science or applied machine learning, with demonstrated end-to-end model ownership from data collection through production deployment. You can lead projects independently while keeping stakeholders aware of progress, risks, and limitations.
  • Hands-on experience with large language models and generative AI frameworks, including Microsoft Foundry and/or Azure OpenAI endpoints, as well as LLM orchestration tools such as LangChain, LangGraph, or equivalent R-based tools such as ellmer.
  • Proficiency in R and/or Python, with comfort working across both languages in a production environment.
  • Strong foundation in statistical modeling, including GLMs, gradient boosting, and other techniques used for risk assessment and pricing.
  • Experience building and deploying models in cloud-based production environments (Azure preferred).
  • Demonstrated ability to communicate complex technical findings clearly to business stakeholders (written, verbal, and data visualization).
  • A strong appreciation for contributing and maintaining well-written documentation. You value version control (git).
  • Strong problem-solving orientation with a bias toward action and delivery.
  • Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.

Preferred Qualifications:
  • Experience in property and casualty insurance, specialty lines, or a related financial services domain with familiarity with underwriting workflows and pricing concepts.
  • Familiarity with actuarial methods, GLM-based pricing, or experience collaborating with actuarial teams.
  • Experience with Posit Connect, Posit Workbench, Shiny, or Quarto for production deployment and reporting.
  • Knowledge of web scraping, API integration, or unstructured data extraction pipelines.
  • Demonstrated ability to mentor data scientists and elevate team technical capabilities.
  • Experience setting up or contributing to MLOps practices, including model versioning, code reproducibility management, and CI/CD for analytical pipelines.

Pay Range
$120,000.00 - $160,000.00 Annual
The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.
Teammate Benefits & Total Well-Being
We go beyond standard benefits, focusing on the total well-being of our teammates, including:
  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
  • Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.
The Power To Be Yourself
As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, "The Power to Be Yourself".

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