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- Tasks: Create and deploy data models while collaborating with engineering teams.
- Company: A forward-thinking data science company focused on innovation.
- Benefits: Flexible hours, pension contributions, and performance-based bonuses.
- Why this job: Join a remote team and make an impact with your data skills.
- Qualifications: Proficiency in Python and SQL, plus experience in statistical modelling.
- Other info: Enjoy a dynamic work environment with opportunities for growth.
The predicted salary is between 30000 - 50000 £ per year.
A data science company is seeking a full-stack Data Scientist primarily for remote work, involving collaboration with engineering teams. The ideal candidate should be proficient in Python and SQL, with experience in developing and deploying statistical models.
Responsibilities include:
- Delivering reliable models
- Documenting analytical requirements
- Building analysis pipelines to streamline operations
The position offers flexible hours, pension contributions, and bonuses based on company success.
Remote Data Scientist - Production-Ready Models & Pipelines in London employer: Ludonautics
Contact Detail:
Ludonautics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Scientist - Production-Ready Models & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a remote role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and scenarios. Practice explaining your thought process when developing and deploying models, as this will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows us you're genuinely interested in joining our team!
We think you need these skills to ace Remote Data Scientist - Production-Ready Models & Pipelines in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL right from the get-go. We want to see how your skills align with our needs, so don’t hold back on showcasing your experience in developing and deploying statistical models!
Be Clear and Concise: When documenting your analytical requirements, keep it straightforward. We appreciate clarity, so use simple language and avoid jargon where possible. This will help us understand your thought process better!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your previous experiences relate to building analysis pipelines and collaborating with engineering teams. We love seeing candidates who take the time to connect their background to what we do!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Ludonautics
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've developed and deployed statistical models, as this will show your practical experience and technical proficiency.
✨Collaborate Like a Pro
Since the role involves working closely with engineering teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team projects, as this will demonstrate your ability to work well in a remote setting.
✨Document Your Process
Be prepared to talk about how you document analytical requirements and build analysis pipelines. Share any tools or methodologies you use to ensure clarity and efficiency in your work, as this will showcase your attention to detail and organisational skills.
✨Show Enthusiasm for Flexibility
The position offers flexible hours, so express your excitement about this aspect. Discuss how you manage your time effectively while working remotely, and share any strategies you use to stay productive and engaged, which will resonate well with the company's culture.
