At a Glance
- Tasks: Own the process of building and implementing ML models from ideation to production.
- Company: Join Wheely, a forward-thinking tech company with a collaborative culture.
- Benefits: Equity options, relocation support, private medical insurance, and professional development stipends.
- Other info: Dynamic work environment with opportunities for growth and innovation.
- Why this job: Tackle challenging problems and make a real impact in the transport industry.
- Qualifications: STEM degree and 2+ years in Data Science/ML with strong Python skills.
The predicted salary is between 50000 - 70000 € per year.
We are looking for mid-level and senior Data Scientists / ML Engineers at Wheely. You will own the entire process of building, from initial ideation and research to implementation of models in production. You will join one of our teams (Passenger/ Supply/ Matching/ Mapping) - working on difficult problems such as developing the driving model, building chauffeur and journey quality score, predicting ETAs, dispatching immediate and future requests as well as pricing journeys to maximize demand & supply.
Locations: London (HQ) and Nicosia (Cyprus) depending on level.
Responsibilities- Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production.
- Building new proofs of concept and improving existing algorithms.
- Researching and then delivering PoC into products.
- STEM degree from a top 3 university in your country.
- 2+ years of experience in Data Science / Machine Learning or similar.
- Excellent programming skills in Python and relevant tools.
- Deep understanding of fundamentals of probability and statistics.
- Equity in the form of stock options.
- Relocation allowance to cover flights/initial accommodation & visa sponsorship and assistance.
- Office lunches, as Wheely has an in-person culture.
- Private medical insurance.
- Newest Mac equipment.
- Professional development with an annual stipend for continuing education courses, programs, conferences or certifications.
Data Scientist/ ML Engineer - Passenger/ Supply/ Matching/ Mapping employer: Open Data Science
Wheely is an exceptional employer that fosters a collaborative and innovative work culture, where Data Scientists and ML Engineers can thrive. With a focus on professional development, employees benefit from equity options, relocation assistance, and a supportive environment that encourages continuous learning and growth. Located in vibrant London or picturesque Nicosia, Wheely offers a unique opportunity to tackle challenging problems while enjoying a strong sense of community and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist/ ML Engineer - Passenger/ Supply/ Matching/ Mapping
✨Tip Number 1
Network like a pro! Reach out to current employees at Wheely on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science and machine learning. This is your chance to shine and demonstrate what you can bring to the team.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss algorithms, coding challenges, and your past experiences. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Wheely team.
We think you need these skills to ace Data Scientist/ ML Engineer - Passenger/ Supply/ Matching/ Mapping
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist/ML Engineer role. Highlight relevant experience, especially in building models and working with cross-functional teams. We want to see how your skills match our needs!
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 you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills:We love seeing your technical prowess! Include any relevant programming languages, tools, and frameworks you've worked with, especially Python. If you've got experience with algorithms or statistical methods, make sure to highlight that too!
Apply Through Our Website:Don't forget to apply 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 you’re keen on joining our team at Wheely!
How to prepare for a job interview at Open Data Science
✨Know Your Algorithms
Brush up on your understanding of algorithms and models relevant to the role. Be prepared to discuss how you've implemented them in past projects, especially in production settings. This shows you not only know the theory but can apply it practically.
✨Showcase Your Problem-Solving Skills
Wheely is looking for someone who can tackle ambiguous problems. Prepare examples from your experience where you identified a problem, researched solutions, and successfully implemented an algorithm. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Familiarise Yourself with the Company
Do some homework on Wheely and its products. Understand their approach to data science and machine learning, particularly in areas like passenger matching and ETA predictions. This will help you tailor your responses and show genuine interest in the company.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the challenges they face, and how success is measured in the role. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
