At a Glance
- Tasks: Develop ML systems to predict app conversions and mentor junior colleagues.
- Company: Join a dynamic startup in Greater London with a focus on innovation.
- Benefits: Enjoy technical autonomy, competitive salary, and the chance to shape strategic decisions.
- Other info: Work on-site 3 days a week in a vibrant, growth-oriented environment.
- Why this job: Make a real impact by working closely with founders on scalable solutions.
- Qualifications: Strong ML background and ability to collaborate effectively.
The predicted salary is between 60000 - 80000 £ per year.
DAY30 seeks its first data scientist in Greater London to develop ML systems predicting app conversions. You’ll have direct impact, working closely with the founders to build scalable solutions and deepen expertise in performance marketing and machine learning.
This role offers extensive technical autonomy, core pipeline development, and the chance to mentor junior colleagues. Ideal candidates will have a strong ML background and the ability to work on-site 3 days a week while contributing to strategic decisions.
Founder-Adjacent Lead Data Scientist, End-to-End ML employer: Day30
DAY30 is an exceptional employer for aspiring data scientists, offering a unique opportunity to work closely with the founders in the vibrant tech hub of Greater London. With a strong emphasis on technical autonomy and mentorship, employees can expect a collaborative work culture that fosters innovation and professional growth, while also making a tangible impact on app conversion strategies. The role not only allows for hands-on development of cutting-edge ML systems but also encourages strategic involvement, making it a rewarding environment for those passionate about performance marketing and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Founder-Adjacent Lead Data Scientist, End-to-End ML
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to DAY30. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML projects and any relevant data science work. This will help you stand out and demonstrate your expertise directly to the founders.
✨Tip Number 3
Be proactive! Don’t just wait for job openings; express your interest in working with DAY30 through our website. A direct approach can show your enthusiasm and commitment.
✨Tip Number 4
Prepare for the interview by brushing up on performance marketing and machine learning concepts. Be ready to discuss how you can contribute to building scalable solutions and mentoring others.
We think you need these skills to ace Founder-Adjacent Lead Data Scientist, End-to-End ML
Some tips for your application 🫡
Show Off Your ML Skills:Make sure to highlight your machine learning expertise in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your projects and achievements!
Be Personal and Authentic:When writing your application, let your personality shine through! We’re looking for someone who can connect with our team and contribute to our culture, so be yourself and share what excites you about this opportunity.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the role. We love seeing candidates who take the initiative to align their skills with what we’re looking for.
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 the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Day30
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge before the interview. Be ready to discuss algorithms, model evaluation, and any relevant projects you've worked on. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to building scalable ML systems.
✨Show Your Strategic Side
Since this role involves contributing to strategic decisions, think about how your past experiences can align with their goals. Prepare examples of how you've used data to drive business outcomes or improve performance marketing. This will show them you’re not just a tech whiz but also a strategic thinker.
✨Be Ready to Collaborate
You’ll be working closely with the founders, so demonstrate your ability to collaborate effectively. Think of examples where you’ve successfully worked in a team, especially in high-stakes situations. Highlight your mentoring experience too, as they’ll appreciate someone who can help junior colleagues grow.
✨Ask Insightful Questions
Prepare some thoughtful questions about their current ML systems and future goals. This shows your genuine interest in the role and helps you understand if the company is the right fit for you. Plus, it gives you a chance to showcase your knowledge and enthusiasm for performance marketing.
