At a Glance
- Tasks: Analyse data to drive product improvements and enhance user experiences.
- Company: Join a fast-growing tech company with a focus on data-driven decisions.
- Benefits: Competitive salary, remote work, and strong investment in your personal development.
- Other info: Be part of an early team shaping the future of the company.
- Why this job: Make a real impact on product direction and user experience from day one.
- Qualifications: Proficient in SQL and Python, with experience in data analysis and visualisation.
The predicted salary is between 36000 - 60000 £ per year.
As a Product Data Scientist, you will work closely with our product and engineering teams to formulate and answer key questions about our product. You will play a central role in collecting, modeling, and analyzing data, and will drive meaningful changes to our product and user experiences based on your findings. In this role, you will report to our Chief Product Officer.
Who You Are
- You are curious, inquisitive, and enjoy solving ambiguous, open-ended problems.
- You are able to identify high-impact problem areas with little direction.
- You have a healthy skepticism about data and know when to dig deeper into a problem.
- You have the technical skills to work independently.
- You are comfortable with advanced modeling and statistical techniques and are highly fluent in SQL and Python.
- You have deep experience with experiment design and analysis.
- You are a strong communicator and are able to explain complex concepts to a wide audience.
- You are adept at crafting clear and impactful data visualizations.
- You are meticulous and forthright.
- You are experienced with finding clear answers despite messy data sets and are able to catch data issues as they arise.
- Ideally, you have experience as a data scientist at a fast-growing company and have a proven record of impact.
What You Will Do
- In this role, you will play a key part in defining the data culture within Modal and ensure that we have principled, data-driven decision-making processes.
- As part of the early data team, you will work on numerous zero-to-one projects and will have a direct impact on our product direction.
- You will have the opportunity to work alongside our product and engineering teams on high-profile feature launches that are used by consumers and brands every day.
- There are numerous complex product questions that we would look to a data partner to help the team untangle.
- On a given day, you may be performing and sharing complex analyses that inform a wide variety of decisions.
- Or you may be playing a hands-on role in product launches, ensuring that we understand the impact of new features on users and can identify potential issues early in the process.
- You will have the opportunity to do foundational analysis on important, unsolved questions.
As an early team member at Modal you will be a critical voice and have significant influence over the direction of the company. We will compensate you well, invest deeply in your development, and ensure this is the single best work experience of your life. If you think you might be a good fit for our team, we would love to hear from you.
Product Data Scientist (Remote) in London employer: MODAL
At Modal, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make impactful contributions. As a Product Data Scientist, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in a dynamic environment, all while being based in a vibrant location that encourages creativity and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Modal or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data projects that highlights your SQL and Python expertise. When you get the chance to chat with hiring managers, share your work and how it’s made an impact.
✨Tip Number 3
Be ready for the unexpected! During interviews, you might face open-ended questions or case studies. Practice thinking on your feet and explaining your thought process clearly – it’s all about showcasing your problem-solving skills.
✨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 being part of the Modal team.
We think you need these skills to ace Product Data Scientist (Remote) in London
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let your curiosity shine through! Share examples of how you've tackled ambiguous problems and what you learned from them. We love inquisitive minds that dig deeper!
Highlight Your Technical Skills:Make sure to showcase your technical prowess in SQL and Python. Include specific projects or analyses where you used these skills to drive impactful results. We want to see how you can work independently with data!
Communicate Clearly:As a Product Data Scientist, you'll need to explain complex concepts simply. In your application, focus on how you've communicated findings to different audiences. Clear communication is key for us!
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 this exciting opportunity. We can't wait to hear from you!
How to prepare for a job interview at MODAL
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your advanced modelling and statistical techniques, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of ambiguous problems you've tackled before. Highlight your curiosity and how you approached these challenges, especially in identifying high-impact areas with minimal direction.
✨Communicate Complex Ideas Simply
Practice explaining complex data concepts in a straightforward way. You might be asked to present your findings or analyses, so think about how you can make your insights accessible to a wider audience.
✨Be Meticulous with Data
Demonstrate your attention to detail by discussing how you've handled messy data sets in the past. Be prepared to talk about specific instances where you caught data issues and how you resolved them.
