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For Companies At a Glance
- Tasks: Dive into hands-on data science tasks and collaborate with engineering teams.
- Company: Join Crossing Hurdles, a forward-thinking company embracing remote work.
- Benefits: Earn $60-$100/hr with flexible hours and potential for contract extension.
- Why this job: Make an impact in data science while working remotely and flexibly.
- Qualifications: Strong experience in data science, Python, and relevant libraries required.
- Other info: Enjoy a dynamic role with opportunities for professional growth.
The predicted salary is between 48 - 80 ÂŁ per hour.
Join to apply for the Data Scientist role at Crossing Hurdles.
Position Details
- Type: Hourly Contract
- Compensation: $60-$100/hour
- Location: Remote
- Duration: Approximately 2 months (extension feasible)
- Commitment: 10-40 hours per week, fully asynchronous
Role Responsibilities
- Focus on handsâon data science tasks, such as designing experiments
- Gathering and preprocessing data
- Building and evaluating models, and collaborating closely with engineering teams to deploy productionâready solutions
- Ensure output consistency and quality through collaboration with peers and feedback from reviewers
Ideal Qualifications
- Have strong professional experience in data science or applied analytics.
- Skilled in Python and Jupyter notebooks.
- Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
- Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference.
Application Process
- Upload resume
- AI interview based on your resume (15 min)
Seniority Level: MidâSenior level
Employment Type: Contract
Job Function: Analyst, Engineering, and Information Technology
Data Scientist | $100/hr Remote in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist | $100/hr Remote in London
â¨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 opportunities. A personal referral can make all the difference, so donât be shy about asking for introductions.
â¨Tip Number 2
Prepare for those AI interviews! Since youâll have a quick 15-minute chat based on your resume, make sure you can discuss your projects and experiences confidently. Brush up on key concepts and be ready to showcase your skills.
â¨Tip Number 3
Show off your work! Create a portfolio of your data science projects and share it during interviews. This gives potential employers a tangible sense of your skills and creativity, making you stand out from the crowd.
â¨Tip Number 4
Apply through our website! Weâve got exclusive features that can help you land that Data Scientist role. Plus, itâs a great way to ensure your application gets noticed by the right people at Crossing Hurdles.
We think you need these skills to ace Data Scientist | $100/hr Remote in London
Some tips for your application đŤĄ
Tailor Your Resume: Make sure your resume highlights your relevant experience in data science. Use keywords from the job description to show that youâre a perfect fit for the role. We want to see how your skills align with what weâre looking for!
Showcase Your Skills: Donât just list your skills; demonstrate them! Include specific examples of projects where youâve used Python, Jupyter notebooks, or any of the libraries mentioned. This helps us see your practical experience in action.
Be Clear and Concise: When filling out your application, keep your answers clear and to the point. We appreciate straightforwardness, so avoid fluff and focus on what makes you stand out as a Data Scientist.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures you donât miss out on any important updates during the process!
How to prepare for a job interview at Crossing Hurdles
â¨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and the libraries mentioned like numpy and pandas. Be ready to discuss your hands-on experience with data preprocessing and model evaluation, as these are key areas for the role.
â¨Prepare for Technical Questions
Expect technical questions that dive into your understanding of machine learning workflows and statistical inference. Practise explaining your thought process clearly, as this will show your analytical skills and how you approach problem-solving.
â¨Showcase Your Collaboration Skills
Since the role involves working closely with engineering teams, be prepared to discuss past experiences where you collaborated effectively. Highlight any projects where teamwork led to successful outcomes, as this will demonstrate your ability to work in a remote setting.
â¨Ask Insightful Questions
At the end of the interview, donât forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, or how they measure success in this role. This shows your genuine interest and helps you assess if it's the right fit for you.
