At a Glance
- Tasks: Collaborate across teams to enhance product features using machine learning and experimentation.
- Company: A growing B2B SaaS company in Greater London, pioneering in tech innovation.
- Benefits: Flexible working arrangements with only one office day every two weeks.
- Other info: Join a dynamic team and make a significant impact in a thriving environment.
- Why this job: Be the first Senior Data Scientist and shape the future of our products.
- Qualifications: Strong ML background, Python and SQL skills, and excellent communication abilities.
The predicted salary is between 60000 - 80000 £ per year.
A growing B2B SaaS company in Greater London is seeking a Senior Data Scientist as their first hire. The role involves collaborating across teams to improve product features through machine learning and experimentation, with a strong emphasis on using Python and SQL.
Candidates should have excellent communication skills, an ML background, and a desire to integrate into the company. This position offers a flexible working arrangement, being in the office only one day every two weeks.
Senior Data Scientist - Product ML & Experimentation employer: Burns Sheehan
Join a dynamic B2B SaaS company in Greater London that values innovation and collaboration, making it an excellent employer for those looking to make a significant impact as a Senior Data Scientist. With a flexible working arrangement and a strong focus on employee growth, you will have the opportunity to enhance your skills in machine learning while working closely with cross-functional teams. The supportive work culture encourages creativity and offers a unique chance to shape product features that drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Product ML & Experimentation
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your machine learning expertise and how you've used Python and SQL in real-world scenarios. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and case studies. Mock interviews with friends or mentors can help you nail your responses and boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you prepare and land that dream job. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior Data Scientist - Product ML & Experimentation
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, especially in machine learning and experimentation.
Communicate Clearly:Since excellent communication is key for this role, ensure your application is clear and concise. We love a well-structured application that tells us exactly why you're the right fit for our team.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your background aligns with our needs. We appreciate candidates who take the extra step to connect their experience with our goals.
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 this exciting opportunity as our first Senior Data Scientist!
How to prepare for a job interview at Burns Sheehan
✨Know Your ML Stuff
Brush up on your machine learning concepts and be ready to discuss how you've applied them in past projects. Be prepared to explain your thought process when it comes to experimentation and how you’ve used Python and SQL to drive results.
✨Show Off Your Collaboration Skills
Since this role involves working across teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can bridge the gap between technical and non-technical team members.
✨Understand the Company’s Product
Do your homework on the company’s product and its features. Think about how you could use data science to enhance these features. This shows your genuine interest and helps you stand out as a candidate who is already thinking about how to contribute.
✨Prepare for Flexibility Questions
With a flexible working arrangement, be ready to discuss how you manage your time and productivity. Share strategies that have worked for you in the past, especially if you’ve had experience working remotely or in a hybrid setup.
