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- Tasks: Drive model development and collaborate with teams to solve complex problems.
- Company: Premium ride-hailing service focused on innovation and technology.
- Benefits: Competitive salary, equity options, and flexible working hours.
- Why this job: Make a real impact by improving algorithms and delivering solutions into products.
- Qualifications: STEM degree, strong Python skills, and 2+ years in data science or machine learning.
- Other info: Join a dynamic team with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A premium ride-hailing service is looking for mid-level and senior Data Scientists / ML Engineers to drive model development from ideation to implementation. This role involves collaboration with cross-functional teams to solve complex problems, improve existing algorithms, and deliver solutions into products.
Candidates should have a STEM degree, strong programming skills in Python, and at least 2 years of experience in data science or machine learning.
The company offers competitive salaries, equity options, and flexible working hours.
Production ML Scientist - Shape ETAs and Dispatch employer: Wheely
Contact Detail:
Wheely Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Scientist - Shape ETAs and Dispatch
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. You never know who might give you a heads-up about an opportunity or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and data science. This will help you stand out and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach complex problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Production ML Scientist - Shape ETAs and Dispatch
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any relevant experience in data science or machine learning. We want to see how you can drive model development and solve complex problems!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Production ML Scientist role. Mention your experience with cross-functional teams and how you've improved algorithms in the past.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Wheely
✨Know Your Algorithms
Brush up on your machine learning algorithms and be ready to discuss how you've applied them in past projects. Be prepared to explain the reasoning behind your choices and how they impacted the outcomes.
✨Showcase Your Coding Skills
Since strong programming skills in Python are a must, practice coding challenges beforehand. You might be asked to solve a problem on the spot, so being comfortable with coding under pressure will give you an edge.
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve navigated challenges in team settings.
✨Prepare Questions About the Role
Have insightful questions ready about the company's approach to model development and how they measure success. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
