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 data science 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 employer: Rockstar
Contact Detail:
Rockstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Game Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Rockstar Games on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data projects, especially those related to gaming. When you get that interview, having tangible examples will make you stand out.
✨Tip Number 3
Practice your storytelling! Be ready to explain complex data insights in simple terms. Rockstar loves impactful stories, so think about how you can present your findings in an engaging way.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Rockstar team. Don’t miss out!
We think you need these skills to ace Senior Data Scientist - Game Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with data analytics, machine learning, 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 Technical Skills: Don’t forget to mention your proficiency in SQL, Python, and any experience with tools like Tableau. We want to see how you’ve used these skills in real-world scenarios, especially in gaming contexts.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining the Rockstar team!
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. Be prepared to explain how you used machine learning techniques to solve real-world problems, especially in gaming contexts.
✨Master the Art of Data Storytelling
Rockstar values impactful storytelling with data. Practice presenting your analyses in a way that highlights key insights and actionable recommendations. Use visuals if possible, as they can help convey complex information more effectively.
✨Show Your Passion for Gaming
Make sure to express your enthusiasm for video games during the interview. Share your favourite games and discuss how data can enhance player experiences. This will show that you’re not just a data scientist, but also someone who genuinely cares about the industry.
✨Prepare for Technical Questions
Expect to face technical questions related to SQL, Python, and machine learning techniques. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data science scenarios can give you an edge.