At a Glance
- Tasks: Design and deliver data analytics solutions to enhance gaming experiences.
- Company: Join Rockstar Games, a leader in world-class entertainment.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Combine your passion for gaming with big data to make a real impact.
- Qualifications: 5+ years in data science, strong coding skills, and a love for games.
- Other info: Collaborate with talented teams in a dynamic London studio.
The predicted salary is between 36000 - 60000 £ per year.
At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Senior Data Scientist who possesses a passion for both games and big data. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of London.
WHAT WE DO
The Rockstar Analytics team provide actionable insights to a wide variety of stakeholders across the organization in support of their decision making. We partner with multiple departments across the company to design and implement data and pipelines. We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. The Game Analytics vertical is heavily focused on understanding our players and using data to improve our games.
RESPONSIBILITIES
- Design, develop, and deliver data analytics solutions to address critical business or game questions, leveraging machine learning and advanced analytical techniques as appropriate.
- Assure Rockstar’s ongoing competitive advantage by providing high quality insights and in-depth analyses, aligned to strategic initiatives and design intentions.
- Tell impactful stories with data through insightful, actionable reports and presentations.
- Develop a deep understanding of gameplay flows, and leverage this to inform analysis of game data.
- Identify and lead analytic value-add projects and experiments aligned with long-term strategic initiatives.
- Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities.
- Partner with data analysts, data engineers, data scientists, data governance analysts, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions.
- Help mentor and develop the skillsets of the junior team members within your team or department.
REQUIREMENTS
- 5+ years in a data science role required.
- Experience in writing production-stable code (preferably Pyspark), pushing models and data pipelines to production, and iterating on models in production.
- Proficiency in statistical theories such as probability, distributions, Bayesian statistics, causal inference.
- Knowledge of machine learning techniques such as Clustering, Gradient Boosting, Neural Networks, Regression.
- Excellent SQL skills and experience using Python for machine learning/statistical analysis.
- Experience using large, complex datasets and building dashboards using a BI platform, ideally Tableau.
- Excellent data storytelling and visualization skills, able to effectively communicate insights to a diverse range of stakeholders.
- Strong problem-solving skills with the ability to reconcile technical and business perspectives.
- Passion for video games and knowledge of the industry.
PLUSES
- Experience with Databricks and MLFlow.
- Graduate degree (MBA, MSc or Master’s, PHD), an asset.
- Game industry experience, an asset.
- Bachelor’s degree in Computer Science, Mathematics, or a related field, with a strong quantitative background.
HOW TO APPLY
Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.
Senior Data Scientist - Game Analytics in London employer: Rockstar
Contact Detail:
Rockstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Game Analytics in London
✨Tip Number 1
Get to know the company inside out! Research Rockstar Games, their projects, and their culture. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current or former employees on LinkedIn, attend industry events, or join relevant online communities. Building relationships can give you insider info and might even lead to a referral!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and data analysis techniques. Practice solving problems on platforms like LeetCode or HackerRank, focusing on the languages and tools mentioned in the job description.
✨Tip Number 4
Don’t forget to showcase your passion for gaming! During interviews, share your experiences with games and how data has influenced your gameplay. This personal touch can set you apart from other candidates.
We think you need these skills to ace Senior Data Scientist - Game Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, data pipelines, and any relevant projects that showcase your skills in game analytics.
Craft a Compelling Cover Letter: Your cover letter should tell a story about your passion for games and data. Explain how your background aligns with Rockstar's mission and how you can contribute to their analytics team.
Showcase Your Data Storytelling Skills: In your application, demonstrate your ability to communicate insights effectively. Use examples of past work where you turned complex data into actionable insights for stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and helps us keep track of all candidates efficiently.
How to prepare for a job interview at Rockstar
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific data analytics solutions you've designed. Highlight how you used machine learning techniques to solve real-world problems, especially in gaming contexts.
✨Master the Art of Data Storytelling
Prepare to showcase your ability to tell impactful stories with data. Think of examples where your insights led to significant decisions or changes. Use visuals if possible, as Rockstar values excellent data visualisation skills.
✨Brush Up on Technical Skills
Make sure you're comfortable discussing your experience with Pyspark, SQL, and Python for machine learning. Be ready to explain your approach to building data pipelines and how you've iterated on models in production.
✨Show Your Passion for Gaming
Rockstar is looking for someone who loves games just as much as they love data. Be prepared to discuss your favourite games and how you think data can enhance player experiences. This will show your genuine interest in the industry.