At a Glance
- Tasks: Lead the data science team and design advanced ML models for gaming analytics.
- Company: Exciting Series A gaming analytics platform with a dynamic culture.
- Benefits: Competitive salary, mentorship opportunities, and a zero-politics environment.
- Other info: Join a passionate team working on multi-billion dollar industry problems.
- Why this job: Shape the future of data science in a high-growth startup and tackle industry challenges.
- Qualifications: 6+ years in data science, leadership experience, and expertise in Python and deep learning.
The predicted salary is between 80000 - 100000 € per year.
As the most senior data science practitioner, you will own the technical roadmap for an investment-grade machine learning platform. You’ll design sophisticated ML models for LTV prediction and financial forecasting using petabyte-scale gaming data. Reporting to the founders, you will set technical standards and mentor a high-performing team in a fast‑paced environment.
Why this role is remarkable:
- Shape the data science function from the ground floor with a direct line to the founding team at a high‑growth startup.
- Work on a massive $6bn industry problem, developing models used by top‑tier VCs for multi‑billion dollar deal diligence.
- Join a zero‑politics, high‑energy culture alongside experts from world‑leading gaming and financial data organizations.
What You Will Do:
- Define the technical vision and roadmap for machine learning capabilities, making critical build‑vs‑buy decisions.
- Design and deploy production‑scale models for LTV prediction, user acquisition optimization, and financial forecasting.
- Lead, hire, and mentor a growing data science team while establishing rigorous MLOps and architectural standards.
The ideal candidate:
- 6+ years of hands‑on data science experience at scale, including leadership or management roles within Gaming or AdTech.
- Advanced expertise in Python, SQL, and deep learning frameworks like PyTorch or XGBoost, with a focus on production deployment.
- Strong quantitative background, ideally with a PhD, and the ability to translate complex model outputs for C‑level executives.
Lead Data Scientist at Series A gaming analytics platform employer: Jack & Jill
Join a pioneering Series A gaming analytics platform in London, where you will have the unique opportunity to shape the data science function from the ground up. With a zero-politics, high-energy culture and direct access to the founding team, you will work on impactful projects that address significant industry challenges while enjoying ample opportunities for professional growth and mentorship within a dynamic startup environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist at Series A gaming analytics platform
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data science communities. Attend meetups, webinars, or even gaming events. You never know who might have the inside scoop on job openings or can refer you directly to the founders.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best machine learning projects, especially those related to gaming analytics. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and deep learning frameworks. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with C-level execs.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your experience aligns with our mission and the specific challenges we face in the gaming analytics space.
We think you need these skills to ace Lead Data Scientist at Series A gaming analytics platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with machine learning, especially in gaming or AdTech, and showcase any leadership roles you've had. We want to see how your skills align with 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 mission. Be sure to mention specific projects or achievements that demonstrate your expertise in LTV prediction and financial forecasting.
Showcase Your Technical Skills:We’re looking for someone with advanced expertise in Python, SQL, and deep learning frameworks. Make sure to include relevant projects or experiences that highlight these skills. Don’t forget to mention any production deployment experience – it’s a big plus for us!
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. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Jack & Jill
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python, SQL, and deep learning frameworks like PyTorch or XGBoost. Be ready to discuss your past projects and how you've applied these skills in real-world scenarios, particularly in gaming or AdTech.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, be prepared to share examples of how you've led teams in the past. Talk about your approach to building a high-performing team and how you set technical standards. This will show that you're not just a tech whiz but also a great leader.
✨Understand the Business Impact
This position is all about shaping the data science function to solve big industry problems. Be ready to explain how your models can impact user acquisition and financial forecasting. Use specific examples to demonstrate your understanding of how data science drives business decisions.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's vision and the challenges they face in the gaming analytics space. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially in a zero-politics, high-energy environment.
