At a Glance
- Tasks: Uncover user insights and lead A/B testing for the Zable app.
- Company: Fast-growing fintech company with an exceptional team.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Other info: Join a dynamic team focused on innovative solutions.
- Why this job: Make a real impact on product analytics for over 1 million users.
- Qualifications: 5+ years in data analytics, strong SQL, and experience with dbt and Python.
The predicted salary is between 70000 - 90000 € per year.
hackajob is seeking an experienced Lead Product Data Scientist to drive product analytics for the Zable app, which serves over 1 million users. The role involves uncovering user insights, leading A/B testing processes, and establishing best practices in analytics.
Candidates should have:
- Over 5 years of experience in data analytics
- Strong SQL skills
- Hands-on experience with dbt and Python
Join a fast-growing fintech company known for its exceptional team and innovative solutions.
Lead Product Data Scientist — Drive Growth & Experiments employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Lead Product Data Scientist, you will have the opportunity to drive impactful analytics for the Zable app, while benefiting from our commitment to employee growth through continuous learning and development programmes. Located in a vibrant fintech hub, we offer a dynamic environment where your contributions directly influence the success of our product and the satisfaction of over 1 million users.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Data Scientist — Drive Growth & Experiments
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work with product analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your A/B testing projects and data insights. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects, especially in driving growth through data.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our innovative team at StudySmarter. Your next big opportunity could be just a click away!
We think you need these skills to ace Lead Product Data Scientist — Drive Growth & Experiments
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 5+ years of experience in data analytics. We want to see how you've used your skills in SQL, dbt, and Python to drive growth and insights in previous roles.
Be Specific About Your Achievements:When detailing your past work, focus on specific projects where you led A/B testing or uncovered user insights. We love numbers, so if you can quantify your impact, even better!
Tailor Your Application:Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the job description. We’re looking for candidates who understand our mission and can contribute to our innovative solutions.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
Make sure you’re well-versed in product analytics, especially as it relates to user insights. Brush up on your SQL skills and be ready to discuss how you've used data to drive growth in previous roles.
✨Showcase Your A/B Testing Experience
Prepare specific examples of A/B tests you've led. Be ready to explain the process you followed, the results you achieved, and how those insights influenced product decisions.
✨Familiarise Yourself with dbt and Python
Since hands-on experience with dbt and Python is crucial, make sure you can talk about projects where you’ve used these tools. Highlight any innovative solutions you’ve implemented using them.
✨Emphasise Team Collaboration
This role is in a fast-growing fintech company, so demonstrate your ability to work within a team. Share examples of how you’ve collaborated with cross-functional teams to achieve common goals.
