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- Tasks: Translate business questions into data science problems and develop predictive models.
- Company: Dynamic consultancy specialising in innovative data solutions.
- Benefits: Earn $75 to $100 per hour with flexible remote hours.
- Why this job: Make an impact by turning data into actionable insights for businesses.
- Qualifications: Strong experience in applied data science and proficiency in Python or R.
- Other info: Contract position with the freedom to work on your own schedule.
The predicted salary is between 56 - 75 £ per hour.
A consultancy specializing in data solutions is hiring an Applied Data Scientist to work remotely at a pay rate of $75 to $100 per hour. The position involves translating business questions into data science problems, conducting various analyses, developing predictive models, and presenting insights to stakeholders.
The ideal candidate must have:
- Strong experience in applied data science
- Proficiency in Python or R
- The ability to effectively communicate technical information to non-technical audiences
This is a contract position with flexible hours.
Remote Applied Data Scientist — Flexible Hours & Analytics in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Applied Data Scientist — Flexible Hours & Analytics 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 lookout for opportunities. You never know who might have a lead or can refer you to someone hiring.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those that translate business questions into data solutions. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the role of an Applied Data Scientist. Keep it simple and relatable, especially when talking to non-technical folks.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that fit your skills and interests. Plus, it shows you're serious about joining our team and helps us get to know you better.
We think you need these skills to ace Remote Applied Data Scientist — Flexible Hours & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in applied data science. We want to see how you've tackled real-world problems and the tools you've used, like Python or R. Customising your CV for this role will help us see you as a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with our needs. We love seeing candidates who can communicate complex ideas simply, so keep it clear and engaging.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's predictive models or analyses you've conducted, we want to know what you've done. Including links to your work can really set you apart from other applicants.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Data Science Stuff
Make sure you brush up on your applied data science skills. Be ready to discuss your experience with Python or R, and have examples of how you've translated business questions into data science problems. This will show that you can hit the ground running.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when developing predictive models or conducting analyses. Being able to articulate your methods clearly will impress the interviewers and demonstrate your expertise.
✨Communicate Like a Pro
Since you'll need to present insights to stakeholders, practice simplifying complex technical information. Think about how you can explain your findings to someone without a technical background. This skill is crucial for the role and will set you apart from other candidates.
✨Show Your Flexibility
As this is a remote position with flexible hours, be prepared to discuss how you manage your time and work independently. Share examples of how you've successfully worked remotely in the past, and highlight your ability to adapt to different working conditions.
