Scopely

Scopely is looking for a Senior Game Mathematician to join the Royal Lounge Casino team in Bangalore.
At Scopely, we care deeply about what we do and aim to inspire play every day, whether through our work with talented colleagues or through our connection with millions of players around the world. We are a global team of game lovers developing, publishing, and innovating within the mobile games industry.
Royal Lounge Casino is a category-leading free-to-play social casino experience, offering slots, bingo, cards, and more to a large, established player community. Our team is distributed across multiple global hubs, including Bengaluru, Tel Aviv, and Barcelona.
What You’ll Do
<ul>
<li>Game Math Design: Design and balance slot game mathematics, including reel structures, paytables, bonus features, and reward systems, to meet target RTP, volatility, hit frequency, feature frequency, maximum win, and reward budgets</li>
<li>Game Mechanics Development: Translate game themes and creative concepts into engaging, mathematically feasible slot mechanics and features in collaboration with Game Designers and Artists</li>
<li>Player-Centric Balancing: Balance game pacing, win distributions, bonus features, and reward structures to deliver enjoyable gameplay experiences aligned with the intended game design objectives</li>
<li>Tool Development: Develop and maintain mathematical models, simulators, calculators, and validation tools using Excel and Java, with Git for version control and Gradle for build automation</li>
<li>Simulation &amp; Validation: Conduct large-scale simulations to validate theoretical calculations, test edge cases, analyze win distributions, and identify unexpected outcomes</li>
<li>Implementation &amp; Validation: Collaborate with Engineering and QA to ensure implemented game logic aligns with approved mathematical models, supporting debugging, test planning, and validation through release</li>
<li>Mathematical Integrity: Maintain mathematical accuracy, fairness, and consistency between theoretical models and implemented game behavior</li>
<li>Data-Driven Iteration: Use playtesting feedback, player behavior insights, live-game performance data, and competitor analysis to refine game mechanics and improve the player experience</li>
<li>Documentation: Prepare and maintain accurate PAR sheets, paytables, probability calculations, simulation results, test plans, and mathematical specifications</li>
<li>Cross-Functional Collaboration: Communicate mathematical concepts, assumptions, risks, and trade-offs clearly to Game Design, Engineering, Art, QA, Product, and other stakeholders</li>
<li>Ownership &amp; Delivery: Take ownership of mathematical deliverables, timelines, model revisions, reviews, and feedback through final validation and release</li>
</ul>
What We’re Looking For
<ul>
<li>Experience: 4+ years of experience in game mathematics, preferably designing and balancing casino slot games</li>
<li>Programming &amp; Tooling: Proficiency in Excel and Java or another relevant programming language, with working knowledge of Git and Gradle for developing mathematical models, simulators, calculators, and validation tools</li>
<li>Programming Fundamentals: Strong understanding of data structures, algorithms, object-oriented programming (OOP), and standard software design patterns</li>
<li>Game Mathematics &amp; Balancing: Strong understanding of RTP, volatility, hit frequency, feature frequency, and win distributions, with the ability to design and balance mathematically sound game mechanics aligned with target metrics and gameplay objectives</li>
<li>Game Development &amp; Validation: Experience taking mathematical game concepts through development, simulation, validation, and production release, including comprehensive test coverage and iterative refinement</li>
<li>Data-Driven Iteration: Experience using playtesting results, player behavior insights, live-game performance data, and competitor analysis to evaluate and improve game mechanics</li>
</ul><div> 
<h3>About Scopely</h3>
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: <a href="https://www.scopely.com/" rel="noopener noreferrer ugc" target="_blank">https://www.scopely.com/</a>. 
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official <a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">website</a> and verify that all Talent Partner communications come from an email address ending in @<a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">scopely.com</a>.
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: <a href="https://www.scopely.com/en/job-applicant-privacy-notice-for-ca-residents" rel="noopener noreferrer ugc" target="_blank">California Privacy Notice</a> and <a href="https://www.scopely.com/en/eea-and-uk-job-applicant-privacy-notice" rel="noopener noreferrer ugc" target="_blank">EEA/UK Privacy Notice</a>.
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.</div>

Senior Game Mathematician - Royal Lounge Casino

Scopely is seeking a Marketing Data Scientist to join our Marketing Analytics team in Barcelona, Spain, 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 worldwide daily.
As a Marketing Data Scientist, you will be part of the Marketing Analytics team, which is responsible for executing the cross-portfolio analytics initiatives for Scopely’s User Acquisition and Ads teams.
<h3>What You Will Do</h3>
<ul>
<li>develop and maintain models that guide paid media investment, including spend-response curves, player lifetime value forecasts, user acquisition forecasts, and budget optimization approaches</li>
<li>measure the effectiveness and incremental impact of advertising using sound statistical methods</li>
<li>work on Ads initiatives to improve player experience while optimizing monetization, enhance our strategy in ads bidding, etc.</li>
<li>translate model outputs into clear recommendations on where and when to invest, explaining expected outcomes, uncertainty, and key assumptions to marketing and finance partners.</li>
<li>partner with User Acquisition, Ads, Finance, and Analytics Engineering teams to turn reliable data science into tools and workflows that support recurring marketing decisions</li>
</ul>
<h3>What We're Looking For</h3>
<ul>
<li>3+ years of experience as a Data Scientist. Background in performance marketing and mobile free-to-play gaming is strongly preferred</li>
<li>excellent analytical and problem-solving skills, with a track record of using data to drive meaningful outcomes</li>
<li>preferred experience in applying marketing modeling techniques e.g., media mix modeling, time series forecasting, segmentation/clustering</li>
<li>advanced SQL and hands-on Python skills for working with large datasets, developing analyses, and building reliable, scalable models; exposure to Google Cloud Platform and BigQuery is a plus</li>
<li>working knowledge of visualization tools: Looker (Preferred), QlikView, Tableau, or PowerBI</li>
<li>proficiency in developing and operating production data science workflows, including orchestration with tools such as Airflow and containerization with Docker; cloud deployment, CI/CD, and monitoring experience is a plus</li>
<li>strong communication skills and the ability to explain clearly to both technical and non-technical stakeholders, influencing decision-making through structured storytelling and data-evidence-based recommendations</li>
<li>Bachelor’s degree in a quantitative or scientific field, or equivalent practical experience, is a big plus</li>
<li>experience in the games industry, or interest in video/mobile games and the evolving in-game advertising field, is a plus but not required</li>
</ul>
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us &amp; embrace the adventure!  
Please ensure that the résumé/CV you attach is written in English.<div> 
<h3>About Scopely</h3>
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: <a href="https://www.scopely.com/" rel="noopener noreferrer ugc" target="_blank">https://www.scopely.com/</a>. 
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official <a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">website</a> and verify that all Talent Partner communications come from an email address ending in @<a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">scopely.com</a>.
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: <a href="https://www.scopely.com/en/job-applicant-privacy-notice-for-ca-residents" rel="noopener noreferrer ugc" target="_blank">California Privacy Notice</a> and <a href="https://www.scopely.com/en/eea-and-uk-job-applicant-privacy-notice" rel="noopener noreferrer ugc" target="_blank">EEA/UK Privacy Notice</a>.
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.</div>

Marketing Data Scientist

Scopely is looking for a Senior Analyst, Ad Monetization, to join our Global Advertising team in Barcelona, Spain, 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 worldwide daily.
The Advertising team oversees our games' overall ads operations, strategy, and product offerings. The team collaborates with our product, sales, marketing, and other teams to help improve campaign strategy, execution, and analysis.
<h3>What You Will Do</h3>
<ul>
<li>analyze ad performance and player behavior to identify opportunities for optimization and strategic improvements</li>
<li>conduct deep-dive investigations into ad monetization trends and KPIs, turning data into actionable insights that influence product and revenue strategy</li>
<li>design, monitor, and interpret A/B tests and experiments to evaluate new ad features or monetization approaches</li>
<li>collaborate with Product Managers and Engineers to translate analytical findings into product improvements and innovative ad experiences</li>
<li>exhibit sound ad product judgment, advise on industry-standard processes, and present clear, measurable objectives that will lead to achieving our business goals</li>
<li>build and maintain dashboards that help stakeholders track performance and guide decision-making</li>
<li>partner with Finance and Product teams to ensure forecast accuracy and data consistency across systems</li>
<li>partner with our Product Development team to build innovative advertising solutions that enhance the ads user experience and engagement rate</li>
<li>communicate results clearly to both technical and non-technical stakeholders, influencing decision-making through structured storytelling and data-evidence-based recommendations</li>
</ul>
<h3>What We're Looking For</h3>
<ul>
<li>5+ years of experience in data analysis or ad monetization, ideally in the gaming or mobile app ecosystem</li>
<li>solid technical foundation: proficient in SQL and comfortable working with data models and visualization tools (Looker, Tableau, or similar)</li>
<li>understanding how advertising metrics relate to player experience, revenue, and business growth</li>
<li>excellent analytical and problem-solving skills, with a track record of using data to drive meaningful outcomes</li>
<li>clear communication skills to translate complex data into actionable insights for diverse stakeholders</li>
<li>understanding of ad tech and monetization mechanics (mediation, programmatic, rewarded video, SSPs/DSPs)</li>
<li>knowledge of A/B testing, experimentation design, and statistical concepts</li>
<li>experience in the games industry, or interest in video/mobile games, and the evolving in-game advertising field, is a plus but not required</li>
</ul>
Please ensure that the résumé/CV you attach is written in English.
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us &amp; embrace the adventure! <div> 
<h3>About Scopely</h3>
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: <a href="https://www.scopely.com/" rel="noopener noreferrer ugc" target="_blank">https://www.scopely.com/</a>. 
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official <a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">website</a> and verify that all Talent Partner communications come from an email address ending in @<a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">scopely.com</a>.
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: <a href="https://www.scopely.com/en/job-applicant-privacy-notice-for-ca-residents" rel="noopener noreferrer ugc" target="_blank">California Privacy Notice</a> and <a href="https://www.scopely.com/en/eea-and-uk-job-applicant-privacy-notice" rel="noopener noreferrer ugc" target="_blank">EEA/UK Privacy Notice</a>.
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.</div>

Senior Analyst, Ad Monetization

Scopely Explore is seeking a highly motivated AI Data Specialist/ Engineer to join our Tokyo Studio, supporting Monster Hunter Now and Pikmin Bloom. This role will sit at the intersection of data engineering, AI tooling, marketing, live game operations, and product strategy.
Scopely Explore’s Tokyo Studio builds games that inspire people to explore the real world together. Monster Hunter Now brings players outside to hunt, craft, and grow stronger together, while Pikmin Bloom helps people find joy in everyday walking and real-world memories. As an AI Data Engineer, you will build the trusted data pipelines, AI-native tools, and automation systems that help our teams operate these games with more speed, rigor, and creativity.
 
Responsibilities
<ul>
<li>Partner cross-functionally with stakeholders across Product, LiveOps, Marketing, User Acquisition (UA), CRM, and Game Operations (including product managers, marketers, analysts, data scientists, engineers, and studio leadership) to identify and prioritize high-impact data and automation opportunities and translate ambiguous business needs into reliable AI-native technical systems.</li>
<li>Build and operate scalable data models, pipelines, semantic layers, and self-service data products using BigQuery, dbt, Looker, Airflow, and related cloud technologies.</li>
<li>Develop production-quality AI-enabled workflows using technologies such as LLMs, agents, retrieval-augmented generation (RAG) knowledge systems, evaluation frameworks, and human-in-the-loop review patterns to help teams investigate performance, detect anomalies, prepare decision briefs, and plan and evaluate campaigns.</li>
<li>Partner with Marketing to improve and automate workflows for audience segmentation, campaign performance, UA governance and execution, reactivation, event planning, and post-launch analysis.</li>
<li>Safeguard data quality and metric consistency across game, marketing, and executive reporting while promoting responsible AI use through appropriate evaluation, oversight, and human review.</li>
<li>Create reusable internal tools, patterns, and documentation that make AI accessible to non-technical teams while preserving trust, reviewability, and clear source-of-truth data. Contribute hands-on to Tokyo Studio’s broader AI operating model and help teams adopt effective AI-enabled workflows.</li>
<li>Use AI-assisted engineering tools responsibly by validating generated code and analysis through rigorous review, automated testing, and established quality gates (including linting, type checking, and CI) before production.</li>
</ul>
 
Qualifications
<ul>
<li>5+ years of experience in data engineering, analytics engineering, machine learning engineering, or a closely related role.</li>
<li>Deep expertise designing, building, deploying, and operating production data platforms across cloud data warehousing (e.g., BigQuery or Snowflake), data transformation and modeling (e.g., dbt), business intelligence and semantic layers (e.g., Looker), and workflow orchestration (e.g., Airflow), with demonstrated ownership of reliability, observability, data quality, performance, cost efficiency, and production troubleshooting.</li>
<li>Exceptional SQL skills and strong data-modeling fundamentals, including dimensional modeling, metric design, semantic layers, and scalable analytical data products, along with strong ability to write clean, maintainable production code for pipelines, automation, integrations, and AI-enabled workflows.</li>
<li>Hands-on experience building AI solutions for real business workflows, including LLM applications, AI agents, Model Context Protocol (MCP) or similar tool-integration layers, retrieval-augmented generation (RAG), prompt and tool orchestration, and model evaluation.</li>
<li>Strong judgment and hands-on experience establishing data-quality controls, consistent metric definitions, and responsible AI practices across data and AI-enabled systems (including reliability, privacy, access control, explainability, evaluation, and human review) and validating AI-generated code and analysis through code review and automated testing.</li>
<li>Experience building tools for and working directly with Product, LiveOps, Marketing, User Acquisition (UA), CRM, or Game Operations teams, with the ability to identify and prioritize high-impact opportunities and translate ambiguous business and operational needs into durable technical systems that teams can trust and reuse.</li>
<li>Experience building reusable internal data and AI tools and driving adoption among technical and non-technical users through documentation, training, and hands-on enablement, while contributing to AI operating models through shared standards, governance, ownership, and review practices across functions and regions.</li>
<li>Excellent business-level verbal and written communication in both English and Japanese.</li>
<li>Ability to work from Scopely Explore’s Tokyo office three days per week.</li>
</ul>
 
Plus If...
<ul>
<li>You enjoy helping teams become more capable by building practical systems that combine better tools, trusted data, and thoughtful automation to support faster, better-informed decisions.</li>
<li>You are passionate about games and player behavior, have experience with free-to-play mobile, live-service, or location-based products, and are familiar with real-world or social mobile games such as Monster Hunter Now, Pikmin Bloom, or Pokémon GO.</li>
<li>You have experience modernizing prototype or locally operated data workflows into reliable, scalable, cloud-managed production systems.</li>
</ul><div> 
<h3>About Scopely</h3>
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: <a href="https://www.scopely.com/" rel="noopener noreferrer ugc" target="_blank">https://www.scopely.com/</a>. 
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official <a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">website</a> and verify that all Talent Partner communications come from an email address ending in @<a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">scopely.com</a>.
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: <a href="https://www.scopely.com/en/job-applicant-privacy-notice-for-ca-residents" rel="noopener noreferrer ugc" target="_blank">California Privacy Notice</a> and <a href="https://www.scopely.com/en/eea-and-uk-job-applicant-privacy-notice" rel="noopener noreferrer ugc" target="_blank">EEA/UK Privacy Notice</a>.
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.</div>

AI Data Specialist - Tokyo

Summary
Scopely Explore (formerly known as Niantic) seeks a Software Engineer to design and build the data infrastructure and experimentation platforms that power our mobile games. You will develop systems that help game, product, analytics, and engineering teams run trustworthy experiments, understand player behavior, and make better decisions at scale.
This is a hands-on technical leadership role. You will write production code, make foundational architectural decisions, and operate critical distributed systems while guiding the technical direction of the platform. Beyond individual technical contribution, you will help lead and grow the Data Infrastructure organization by aligning engineers and cross-functional partners, mentoring engineers, and driving multi-team initiatives from strategy through delivery. Depending on team structure and business needs, this role may also include formal people-management responsibilities. We seek creative engineers with excellent technical judgment, strong interpersonal skills, and an eagerness to embrace new technologies and AI-native development methodologies. Do you want to build the foundations that enable faster learning and better player experiences across Scopely Explore?
 
Responsibilities
<ul>
<li>You design, build, and operate scalable data infrastructure and experimentation systems for both general product experimentation and game-specific use cases.</li>
<li>You lead the technical design of capabilities such as experiment assignment, player segmentation, exposure logging, telemetry processing, metric computation, guardrails, and reproducible analysis.</li>
<li>You build reliable batch and streaming data pipelines using technologies such as Apache Beam, Apache Spark, Ray, Apache Flink, and Apache Kafka.</li>
<li>You design data platforms on GCP using technologies such as BigQuery, Apache Iceberg, Google Cloud Storage, Kubernetes, Airflow, and Terraform.</li>
<li>You remain hands-on throughout the development lifecycle, contributing production code and solving complex problems in distributed computing, streaming, orchestration, and storage.</li>
<li>You develop effective methodologies and guardrails for AI-assisted and agentic engineering, including context management, automated validation, evaluations, human review, and responsible adoption.</li>
<li>You use AI-native workflows across your end-to-end responsibilities, including architecture exploration, implementation, testing, code review, documentation, debugging, incident response, and platform operations.</li>
<li>You maintain ownership of the correctness, security, performance, and maintainability of all work produced with AI assistance.</li>
<li>You evaluate new technologies pragmatically and apply them where they materially improve engineering velocity, platform reliability, or experimentation quality.</li>
<li>You lead the technical direction and delivery of the Data Infrastructure, aligning engineers and cross-functional partners around shared priorities, architectural decisions, trade-offs, and multi-quarter execution plans.</li>
<li>You coach and develop engineers through mentorship, actionable feedback, and technical guidance, while fostering a collaborative, high-performing team culture and remaining hands-on in architecture and critical implementation.</li>
</ul>
 
Qualifications
<ul>
<li>You have a demonstrated ability to use AI-native workflows across the full engineering lifecycle while independently evaluating and validating their output.</li>
<li>You have extensive experience designing, building, and operating production data platforms or other large-scale distributed systems.</li>
<li>You demonstrate strong programming ability in one or more of Java, Python, Go, or Rust. Experience with Java or Python is especially relevant to this role.</li>
<li>You have deep experience with cloud data infrastructure, preferably GCP and BigQuery.</li>
<li>You understand distributed computing and have production experience with frameworks such as Apache Beam, Apache Spark, or Ray.</li>
<li>You have experience building real-time data systems with technologies such as Apache Flink, Apache Kafka, or comparable streaming frameworks.</li>
<li>You have experience with orchestration, container, and infrastructure automation technologies such as Kubernetes, Airflow, and Terraform.</li>
<li>You understand modern storage and lakehouse architectures, including technologies such as Apache Iceberg and object storage systems such as Google Cloud Storage.</li>
<li>You have experience building experimentation, analytics, telemetry, or data products used by multiple engineering and product teams.</li>
<li>You understand the foundations of trustworthy experimentation, including assignment, exposure tracking, metric definition, data quality, reproducibility, and statistical interpretation.</li>
<li>You have experience defining technical direction and driving complex, cross-team initiatives while remaining directly involved in implementation.</li>
<li>Demonstrated history of leading delivery of complex projects involving multiple engineers and cross-functional partners, from strategy and planning through launch and operational ownership.</li>
<li>Experience managing and developing engineering teams, including hiring, performance feedback, career growth, and fostering an effective, inclusive team culture.</li>
<li>You communicate clearly and work effectively with distributed, cross-functional teams.</li>
<li>You are proficient in English. Japanese proficiency is a bonus.</li>
</ul>
 
Important notes about this position
<ul>
<li>This position is based in Tokyo. While offering flexibility, regular attendance in the office three days per week is expected.</li>
<li>The coding requirement is not optional and will be tested during the recruitment process. Candidates must be able to design, implement, test, and reason about production-quality software.</li>
<li>The use of AI tools is allowed and may form part of the development workflow. Candidates must understand, explain, validate, and take responsibility for the resulting work.</li>
</ul><div> 
<h3>About Scopely</h3>
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: <a href="https://www.scopely.com/" rel="noopener noreferrer ugc" target="_blank">https://www.scopely.com/</a>. 
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official <a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">website</a> and verify that all Talent Partner communications come from an email address ending in @<a href="http://scopely.com" rel="noopener noreferrer ugc" target="_blank">scopely.com</a>.
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: <a href="https://www.scopely.com/en/job-applicant-privacy-notice-for-ca-residents" rel="noopener noreferrer ugc" target="_blank">California Privacy Notice</a> and <a href="https://www.scopely.com/en/eea-and-uk-job-applicant-privacy-notice" rel="noopener noreferrer ugc" target="_blank">EEA/UK Privacy Notice</a>.
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.</div>

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