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Weekend Python Web Scraping Jobs in California (NOW HIRING)

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 ...

SpaceX

Site Reliability Engineer, GNC

Hawthorne, CA

$145K - $175K/yr

Monitoring and incident response for web applications and services * Manage the underlying ... Willing to work extended hours and weekends when needed to meet critical deadlines COMPENSATION AND ...

SpaceX

Site Reliability Engineer, GNC

Hawthorne, CA · On-site

$145K - $175K/yr

Monitoring and incident response for web applications and services * Manage the underlying ... Willing to work extended hours and weekends when needed to meet critical deadlines COMPENSATION AND ...

SpaceX

Site Reliability Engineer, GNC

Hawthorne, CA

$145K - $175K/yr

Monitoring and incident response for web applications and services * Manage the underlying ... Willing to work extended hours and weekends when needed to meet critical deadlines COMPENSATION AND ...

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 ...

Jobsbridge

DevOps Engineer

San Francisco, CA

$62.25 - $85/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... python, php, or ruby and a shell language (bash, korn, etc.). - Knowledge of operational and ...

SpaceX

Security Software Engineer

Hawthorne, CA · On-site

... web application firewalls). • Cloud deployments security policy enforcement, centralized ... Python programming language, GO, C#, or Rust • Experience designing and implementing security ...

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Weekend Python Web Scraping information

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

To thrive as a Weekend Python Web Scraping Specialist, you need strong proficiency in Python programming, experience with web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and HTTP protocols. Familiarity with version control systems such as Git, browser automation tools like Selenium, and sometimes cloud platforms is also typically expected. Attention to detail, problem-solving skills, and effective communication are essential soft skills to manage project requirements and address data extraction challenges. These competencies ensure accurate, efficient data gathering and reliable delivery within tight weekend timelines.

What are some common challenges faced in a weekend Python web scraping role, and how can they be addressed?

One frequent challenge in weekend Python web scraping roles is dealing with websites that implement anti-scraping measures, such as CAPTCHAs or frequent layout changes. Effective solutions include using libraries like Selenium or Playwright to mimic human browsing, rotating user agents and IP addresses, and staying updated with website structure changes. Additionally, time management is key, as weekend roles often require efficiently balancing multiple scraping tasks within limited hours. Collaborating with other developers or data engineers, even asynchronously, can help share solutions and maintain scraping scripts effectively.

What are Weekend Python Web Scraping jobs?

Weekend Python Web Scraping jobs involve using the Python programming language to collect and extract data from websites, typically during weekend hours or as a part-time remote role. These jobs often require knowledge of web scraping libraries like BeautifulSoup, Scrapy, or Selenium, as well as an understanding of HTML and web protocols. The work can include tasks such as gathering data for market research, competitive analysis, or data aggregation projects. Since the work is scheduled for weekends, it offers flexibility for those who have commitments during the week. Attention to ethical web scraping practices and compliance with website terms of service is usually important.

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

AspectWeekend Python Web ScrapingWeekend Data Analyst
Required SkillsPython, web scraping libraries, data extractionExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, project-based, technicalRemote or on-site, analytical, business-focused
Industry UsageTech, e-commerce, researchFinance, marketing, consulting

Weekend Python Web Scraping involves writing scripts to extract data from websites, focusing on technical skills like Python programming. Weekend Data Analysts interpret and visualize data to support business decisions, requiring analytical and communication skills. While both roles may work remotely and require some technical knowledge, Python Web Scraping is more technical and coding-intensive, whereas Data Analysis emphasizes data interpretation and reporting.

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 Weekend Python Web Scraping jobs in California? For Weekend Python Web Scraping jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Python Web Scraping jobs in California look for? The top searched job categories for Weekend Python Web Scraping jobs in California are:
What cities in California are hiring for Weekend Python Web Scraping jobs? Cities in California with the most Weekend Python Web Scraping job openings:
Weekend 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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