채용
Benefits & Perks
•401(k) matching
•Professional development budget
•Generous paid time off and holidays
•Team events and activities
•Parental leave
•Learning
•Parental Leave
Required Skills
PostgreSQL
Node.js
Python
Scopely is looking for a Staff Economy Simulation Engineer to join our Monopoly GO! team and work from Barcelona on a hybrid basis.
At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.
Monopoly GO! is our new casual game and a key franchise that has just become Scopely’s largest game, enjoyed by millions of players. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.
What You Will Do
Your mission will be standardising and processing configuration data and developing systems that accurately replicate game logic, generating reliable simulation outcomes that help the economy team predict, validate, and understand the impact of changes by combining real player data with advanced simulations.
You will partner closely with Game Economists, Product Managers, Data Scientists, and Game/Server Engineers to ensure a balanced, fun, and sustainable experience for millions of players, ideal for someone who loves understanding how complex systems work.
- Leadership
- Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
Data Modeling & Analysis:
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Design standardized data models for Economy and Live Ops features, finding commonalities and relations between different features
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Transform raw game data into analytical datasets for simulation and evaluation
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Collaborate with Game Economy to define KPIs, progression metrics, and economic models
Simulation & Game Logic:
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Build tools and code that accurately replicate in-game mechanics to validate and experiment with configurations
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Build validated simulation engines capable of modeling full player progression and event cycles
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Create reusable libraries enabling designers/economists to run simulations without engineering support
Integration with Real Player Data:
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Extract, process, and combine data from Big Query or other data warehouses
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Validate that simulations reflect real player behavior and outcomes
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Automate the creation of datasets required for future analyses
Scalability & Compute Systems:
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Build pipelines and systems to run millions of simulations efficiently
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Optimize workloads using Spark, Dataproc, Airflow, DBT, or similar frameworks
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Maintain high code quality with proper testing, observability, and reproducibility
What We’re Looking For
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6+ years as part of a professional game development team or other relevant area
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Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
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Experience driving and leading the technical execution of complex and interdisciplinary developments
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Strong proficiency in Python or C# (required): classes, testing, simulation, optimization
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Solid experience with SQL and at least one data warehouse (Big Query preferred)
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Knowledge of probability, applied statistics, and simulation techniques
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Experience with distributed processing tools: Spark, Py Spark, or alternatives
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Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
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Familiarity with cloud infrastructure
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Great tech communication skills, who knows how to share knowledge with non-technical people
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A strong interest in leveraging AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles
Bonus Points
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Experience in gaming, monetization, or game economy
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Familiarity with gameplay logic or Live Ops systems
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Experience developing internal libraries or tools for non-technical teams
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You’ve mentored less experienced team members
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Curious about experimenting with AI systems to extend the capabilities of existing pipelines or prototype new evaluation methods
Who you are
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You’re passionate about understanding how complex systems work
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You feel comfortable working between technical teams (Data/Server) and design teams (Economy/Product)
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You enjoy replicating mechanics, experimenting, and testing ideas
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You are detail-oriented, methodical, and love finding inconsistencies or improvements
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You take pride in building features that reach and impact millions of players
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You value environments where meaningful contributions stand out, appreciating a merit-driven culture where your improvements are truly noticed
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You excel when given autonomy and comfortable defining internal standards
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You’re excited about integrating AI into your day-to-day work, using it as a multiplier for creativity, speed, and problem-solving
At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.
About Us
Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," “Star Trek™ Fleet Command,” “Stumble Guys,” “MARVEL Strike Force,” and “Yahtzee® With Buddies,” among others.
Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer™ experience across multiple platforms--from mobile, web, PC and beyond.
Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry.
Recognized multiple times as one of Fast Company’s “World’s Most Innovative Companies,” Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years.
Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents.
Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy.
For more information on Scopely, visit: scopely.com
Notice to candidates: Scopely, Inc and its affiliates will never request payment or ask for financial information as a condition for applying to a position or receiving an offer of employment. All official Scopely, Inc. recruiters only use email domains that end with @scopely.com.
Our official website is www.scopely.com. Please only apply to positions posted on our official website and ensure the recruiter only communicates via the official email domain.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
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About Scopely

Scopely
AcquiredScopely is a mobile gaming company that develops and publishes free-to-play games for smartphones and tablets. The company operates popular game franchises including Star Trek Fleet Command, Marvel Strike Force, and Stumble Guys.
1,001-5,000
Employees
Culver City
Headquarters
$4.9B
Valuation
Reviews
4.2
5 reviews
Work Life Balance
4.0
Compensation
3.8
Culture
4.2
Career
2.5
Management
2.8
Pros
Great benefits and competitive compensation
Amazing people and passionate team members
Flexible work from home options
Cons
Very difficult career growth and promotion opportunities
Company becoming too big and corporate
Poor communication and slow processes
Salary Ranges
131 data points
Junior/L3
L3
L6
Mid/L4
Senior/L5
Junior/L3 · Product Designer
0 reports
$168,840
total / year
Base
-
Stock
-
Bonus
-
$143,514
$194,166
Interview Experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Multiple Technical Interviews
5
HR Screening
6
Take-home Assignment
7
Offer
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
System Design
Past Experience
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