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For Companies At a Glance
- Tasks: Lead in-game economy research and analysis for popular video game titles.
- Company: Join 2K Games, a global leader in video game publishing with iconic franchises.
- Benefits: Enjoy a diverse and inclusive work environment with opportunities for growth.
- Why this job: Combine your passion for gaming and economics while making a real impact.
- Qualifications: Master's or Ph.D. in Economics or related fields with 4-6 years of experience required.
- Other info: Remote work options available; we welcome applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
Staff Applied Scientist – Economy
2K, headquartered in Novato, California, is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company publishing titles developed by influential studios such as Visual Concepts, Firaxis, Hangar 13, and others. Our portfolio includes popular titles across genres like sports, shooters, action, role-playing, strategy, casual, and family entertainment.
Our diverse team of professionals—engineers, marketers, artists, writers, data scientists, and more—manage critically-acclaimed franchises like NBA 2K, BioShock, Borderlands, Mafia, Civilization, Marvel’s Midnight Suns, WWE 2K, and XCOM.
At 2K, we foster an inclusive environment encouraging everyone to \”Come as You Are\” and do their best work. We invite all applicants to explore our global opportunities, even if they don\’t meet every requirement. If you\’re passionate about gaming, economics, and data science, we encourage you to apply!
What We Need
We seek a versatile and experienced Staff Applied Economist to join the Applied AI team. You will lead in-game economy research, analysis, and optimization, applying economic expertise and scientific rigor to design, diagnose, and balance in-game economies for our flagship titles.
What You Will Do
- Serve as a subject matter expert, collaborating with product, commercial, and development teams to innovate and improve game economy design and mechanics.
- Develop and implement econometric, statistical, and machine learning models to analyze virtual economy health, marketplace pricing, and responses to economy changes.
- Use predictive, simulation, and optimization techniques to support economy tuning, balancing, and intervention decisions.
- Work with applied scientists and machine learning engineers to deploy models and integrate insights into games.
- Promote hypothesis testing through experimentation and develop causal inference skills to understand intervention outcomes.
What Will Make You a Great Fit
- Master\’s or Ph.D. in Economics, Statistics, Marketing Science, or related fields.
- 4-6 years of experience in economist, data science, or applied research roles.
- Deep knowledge of microeconomics, macroeconomics, and econometrics.
- Experience developing statistical, machine learning, and econometric models.
- Proficiency in Python or R, SQL, and handling large datasets.
- Excellent communication skills for explaining complex insights to non-specialists.
Bonus Points
- Experience with video game ML or data science projects, game design, or economy balancing.
- Expertise in pricing and revenue optimization.
- Knowledge of mathematical optimization, reinforcement learning, and causal inference.
- Specialization in mechanism design, market design, or auction theory.
We are committed to equal opportunity employment and providing reasonable accommodations for individuals with disabilities. Please contact us if needed. Note: 2K Games and its studios do not use instant messaging or personal email for contact; all communications will be through official 2K.com accounts.
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Staff Applied Scientist - Economy London (England) 2K Data Analysis Intermediate (2–5 years) employer: Gamecompanies
Contact Detail:
Gamecompanies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Applied Scientist - Economy London (England) 2K Data Analysis Intermediate (2–5 years)
✨Tip Number 1
Familiarise yourself with the latest trends in game economy design and analysis. Understanding how in-game economies function and the challenges they face will help you speak confidently about your insights during interviews.
✨Tip Number 2
Network with professionals in the gaming industry, especially those working in data science and economics. Attend relevant conferences or webinars to make connections and learn from their experiences, which can give you an edge when applying.
✨Tip Number 3
Showcase any personal projects or case studies related to game economy analysis. Having tangible examples of your work can demonstrate your skills and passion for the role, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your experience with econometric and machine learning models in detail. Be ready to explain how you've applied these techniques in past roles, as this will be crucial for demonstrating your fit for the position.
We think you need these skills to ace Staff Applied Scientist - Economy London (England) 2K Data Analysis Intermediate (2–5 years)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in economics, data science, and applied research. Emphasise your proficiency in Python or R, SQL, and any experience with large datasets, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for gaming and how your background aligns with the responsibilities of the Staff Applied Scientist position. Mention specific projects or experiences that demonstrate your expertise in econometrics and machine learning.
Showcase Relevant Projects: If you have worked on any video game ML or data science projects, be sure to include them in your application. Highlight your role, the techniques used, and the outcomes achieved to showcase your practical experience.
Prepare for Technical Questions: Anticipate technical questions related to econometric models, statistical analysis, and machine learning during the interview process. Brush up on your knowledge of microeconomics, macroeconomics, and causal inference to confidently discuss your expertise.
How to prepare for a job interview at Gamecompanies
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python or R, SQL, and any experience with large datasets. Be prepared to discuss specific projects where you've applied these skills, especially in econometric or machine learning models.
✨Demonstrate Your Economic Knowledge
Brush up on microeconomics, macroeconomics, and econometrics concepts. Be ready to explain how these principles apply to in-game economies and provide examples of how you've used them in past roles.
✨Prepare for Problem-Solving Questions
Expect to tackle questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process when developing statistical models or conducting data analysis, as this will showcase your expertise.
✨Communicate Complex Ideas Simply
Since you'll need to explain complex insights to non-specialists, practice simplifying your explanations. Use clear, concise language and relatable examples to demonstrate your ability to communicate effectively across teams.
