At a Glance
- Tasks: Analyze gameplay data to identify trends and enhance player engagement.
- Company: Join a cutting-edge company revolutionizing skill-based online gaming.
- Benefits: Enjoy a collaborative culture with autonomy and opportunities for innovation.
- Why this job: Shape the future of gaming while working with industry experts in a dynamic environment.
- Qualifications: Need experience in data analytics, preferably in gaming, and strong skills in Python or R.
- Other info: Passion for gaming and curiosity about player behavior is a must!
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist
An exciting opportunity has emerged for a Data Scientist/Analyst to join a rapidly growing company in the online gaming sector. This innovative and forward-thinking organisation is revolutionising skill-based games, providing players with a highly engaging experience that rewards strategic gameplay. With a strong focus on data-driven decision-making, this role offers a unique chance to work at the cutting edge of the gaming industry while contributing to key business strategies.
About the Role
This is an opportunity to be part of an elite team where your insights will shape the future of gaming . The company fosters a highly collaborative and non-hierarchical culture, giving every team member the autonomy to drive impactful decisions. You will work alongside experienced industry professionals in a fast-paced, dynamic environment that values creativity, innovation, and analytical excellence.
Responsibilities:
- Perform comprehensive data analysis on vast and intricate gameplay datasets to identify meaningful trends and drive strategic initiatives.
- Extract valuable insights to refine game mechanics, balance in-game economies, and enhance overall player engagement.
- Collaborate with marketing teams to build predictive financial models that optimise return on investment and improve campaign efficiency.
- Create and maintain automated data infrastructure, including dashboards and reporting systems, to provide real-time performance tracking.
- Work cross-functionally to plan and implement dynamic in-game activities and engagement strategies to maximise user retention.
- Design and deploy advanced machine learning models to integrate data-driven solutions into core business operations.
- Regularly communicate analytical findings to key stakeholders, influencing product development and marketing strategies.
- Stay ahead of industry advancements by researching and adopting emerging AI and machine learning methodologies to enhance game performance and operational efficiency.
Requirements:
- Commercial experience in data analytics, ideally with a focus on the online gaming industry.
- Strong academic background (BA/B.Sc.) in Statistics, Mathematics, Engineering, Economics, or related fields.
- Expertise in statistical modeling and programming using Python or R.
- Proficiency in SQL with the ability to query large, complex datasets.
- Experience working with BI visualisation tools (Tableau, Looker, etc.).
- A structured and analytical mindset with the ability to translate complex data into clear business insights.
- Excellent communication skills – able to effectively present data-driven recommendations to various stakeholders.
- Passion for the gaming industry and a deep curiosity for understanding player behaviours and engagement trends.
If this role interests you and you would like to learn more, please apply here or contact us via (feel free to include a CV for review).
#J-18808-Ljbffr
Data Scientist - Gaming employer: Xcede Recruitment Solutions
Contact Detail:
Xcede Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Gaming
✨Tip Number 1
Familiarize yourself with the latest trends in the gaming industry, especially around data analytics and player engagement. This knowledge will not only help you during interviews but also demonstrate your genuine passion for the field.
✨Tip Number 2
Showcase your experience with statistical modeling and programming languages like Python or R. Be prepared to discuss specific projects where you've applied these skills to solve real-world problems, particularly in gaming or similar sectors.
✨Tip Number 3
Network with professionals in the gaming industry through platforms like LinkedIn or relevant forums. Engaging with others can provide insights into the company culture and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss how you've used data visualization tools like Tableau or Looker in past roles. Being able to effectively communicate complex data insights is crucial, so practice explaining your findings in a clear and engaging manner.
We think you need these skills to ace Data Scientist - Gaming
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position in the gaming sector. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasize any commercial experience you have in data analytics, especially within the online gaming industry. Showcase specific projects or achievements that demonstrate your expertise in statistical modeling, programming, and data visualization.
Showcase Technical Skills: Clearly outline your proficiency in Python or R, SQL, and any BI visualization tools like Tableau or Looker. Provide examples of how you've used these skills to drive insights or improve business outcomes in previous roles.
Communicate Your Passion: Express your enthusiasm for the gaming industry and your curiosity about player behaviors in your application. This can set you apart from other candidates and show that you're not just qualified, but also genuinely interested in the role.
How to prepare for a job interview at Xcede Recruitment Solutions
✨Show Your Passion for Gaming
Make sure to express your enthusiasm for the gaming industry during the interview. Share your favorite games and discuss what aspects of gameplay you find most engaging. This will demonstrate your genuine interest in the field and help you connect with the interviewers.
✨Highlight Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to drive strategic decisions in previous roles. Be ready to explain your thought process and the impact your insights had on the business, especially in a gaming context.
✨Familiarize Yourself with BI Tools
Since the role requires experience with BI visualization tools, brush up on your knowledge of tools like Tableau or Looker. Be prepared to discuss how you've used these tools to create dashboards or reports that influenced decision-making.
✨Prepare for Technical Questions
Expect technical questions related to statistical modeling, Python or R programming, and SQL querying. Review key concepts and be ready to solve problems on the spot, as this will showcase your expertise and problem-solving abilities.