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- Tasks: Analyze player behavior and optimize the gaming experience for Warframe Mobile.
- Company: Join a dynamic team focused on enhancing player engagement in mobile gaming.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth.
- Why this job: Make a real impact on player retention and game performance while working with cutting-edge data science techniques.
- Qualifications: 5+ years of data science experience, strong skills in Python or R, and expertise in mobile gaming analytics.
- Other info: Ideal for those passionate about gaming and data-driven decision-making.
The predicted salary is between 43200 - 72000 £ per year.
ABOUT THIS POSITION
We are seeking a highly motivated and experienced Senior Data Scientist to join our team and play a crucial role in optimizing the new player experience and overall performance of our games with an emphasis on Warframe Mobile. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to improve player engagement and retention.
RESPONSIBILITIES
- New Player Experience Optimization:
- Analyze player behavior during the first-time user experience (FTUE) to identify areas of friction and opportunities for improvement.
- Develop and implement A/B testing strategies to optimize onboarding flows, tutorials, and early game mechanics.
- Build predictive models to identify players at risk of churn and develop targeted interventions to improve retention.
- Track key performance indicators (KPIs) such as player engagement, retention, monetization, and virality.
- Analyze player behavior data to understand game mechanics, identify imbalances, and optimize game design.
- Develop dashboards and reports to communicate insights to stakeholders and inform data-driven decision-making.
- Apply statistical and machine learning techniques to analyze large datasets of player behavior, in-game events, and economic activity.
- Build predictive models to forecast player behavior, optimize game parameters, and personalize the player experience.
- Develop and maintain data pipelines to ensure data quality and accessibility.
- Work closely with game designers, product managers, and engineers to translate data insights into actionable game improvements.
- Communicate complex technical concepts to non-technical audiences through clear visualizations and presentations.
- Stay up-to-date with the latest advancements in data science and mobile gaming trends.
REQUIREMENTS
- 5+ years of experience as a Data Scientist, with a focus on mobile gaming or a related industry.
- Strong programming skills in Python or R.
- Expertise in statistical modeling, machine learning, and data mining techniques.
- Experience with big data technologies.
- Proficiency in SQL and data visualization tools.
- Deep understanding of game mechanics, economies, and player behavior.
- Experience with A/B testing and experimental design.
- Familiarity with game analytics platforms and tools.
PREFERRED EXTRAS
- Experience with Mobile game optimization
- Expertise with Database technologies such as (Athena, Mongo, Postgres).
- Familiarity with deep learning techniques.
- Contributions to open-source projects or publications in relevant fields
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Senior Data Scientist employer: Digital Extremes
Contact Detail:
Digital Extremes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with mobile gaming analytics in your conversations. Highlight specific projects where you optimized player experiences or improved retention rates, as this will resonate well with our team's focus.
✨Tip Number 2
Familiarize yourself with A/B testing methodologies and be ready to discuss how you've implemented these strategies in past roles. We value candidates who can demonstrate a hands-on approach to optimizing onboarding flows and game mechanics.
✨Tip Number 3
Prepare to talk about your experience with big data technologies and how you've utilized them to analyze player behavior. Being able to explain your data pipeline processes will show us that you're equipped to handle the scale of our datasets.
✨Tip Number 4
Stay updated on the latest trends in mobile gaming and data science. Bringing fresh insights or recent advancements to the table during discussions can set you apart and demonstrate your passion for the industry.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly in mobile gaming. Emphasize your programming skills in Python or R, and any relevant projects that showcase your expertise in statistical modeling and machine learning.
Craft a Strong Cover Letter: In your cover letter, express your passion for optimizing player experiences and your understanding of game mechanics. Mention specific examples of how you've used data to drive improvements in previous roles, especially in mobile gaming contexts.
Showcase Relevant Projects: If you have worked on projects related to A/B testing, predictive modeling, or game performance analysis, be sure to include these in your application. Provide links to any dashboards or reports you've created that demonstrate your ability to communicate insights effectively.
Highlight Collaboration Skills: Since the role involves working closely with game designers and product managers, mention any past experiences where you successfully collaborated with cross-functional teams. Highlight your ability to translate complex data insights into actionable recommendations.
How to prepare for a job interview at Digital Extremes
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analyzed large datasets in the past. Highlight your experience with predictive modeling and A/B testing, especially in the context of mobile gaming.
✨Demonstrate Technical Proficiency
Make sure to showcase your programming skills in Python or R during the interview. Be ready to explain your experience with SQL and any big data technologies you've worked with, as these are crucial for the role.
✨Communicate Effectively
Since collaboration is key, practice explaining complex data concepts in simple terms. Use visualizations or examples to illustrate your points, making it easier for non-technical stakeholders to understand your insights.
✨Stay Updated on Industry Trends
Research the latest advancements in data science and mobile gaming before your interview. Being knowledgeable about current trends will demonstrate your passion for the field and your commitment to continuous learning.
