At a Glance
- Tasks: Develop high-volume Google scraping systems using Python or Java.
- Company: Leading tech company with a focus on innovative data solutions.
- Benefits: Competitive salary of £50,000-£70,000 and fully remote work.
- Other info: Ideal for specialists looking to advance their careers in a dynamic environment.
- Why this job: Join a dedicated team and tackle exciting challenges in data scraping.
- Qualifications: Expertise in Python or Java and knowledge of anti-bot systems required.
The predicted salary is between 50000 - 70000 £ per year.
A leading tech company is seeking a Python Scraping Engineer to develop high-volume Google scraping systems. This role, fully remote, demands expert-level experience in Python or Java and deep knowledge of anti-bot systems. Candidates should be well-versed in scaling scraping infrastructures and navigating CAPTCHA challenges.
With a competitive salary of £50,000-£70,000 and the opportunity to work with dedicated data teams, this position is ideal for specialists in the field.
Remote Google Scraping Engineer - Python/Java in London employer: Tenth Revolution Group
As a leading tech company, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. With fully remote opportunities, competitive salaries, and a strong focus on professional development, we provide our team members with the resources and support they need to thrive. Join us to collaborate with dedicated data teams and tackle exciting challenges in the world of web scraping.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Google Scraping Engineer - Python/Java in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tenth Revolution Group.
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We think you need these skills to ace Remote Google Scraping Engineer - Python/Java in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tenth Revolution Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tenth Revolution Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tenth Revolution Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tenth Revolution Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
