招聘
必备技能
Python
SQL
Airflow
Scopely is a global gaming company whose mission is to inspire play every day.Niantic (a division of Scopely) inspires people to explore the world together through products that promote exercise, exploration, and real-world social interaction.
We’re seeking a strategic, impact-driven Staff Data Scientist to partner with Marketing and Product. You will lead scalable measurement frameworks, predictive models, and AI-powered analytics to shape user acquisition, engagement, monetization, and long-term player value.
As a senior IC, you’ll define data strategy across marketing and product analytics, elevate experimentation and causal inference, and leverage modern AI tools to accelerate insights and decision-making. You’ll collaborate with Marketing, Product, Engineering, Finance, and Executive Leadership to drive measurable business outcomes.
Responsibilities
Marketing & Product Analytics
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Design scalable measurement frameworks across acquisition, retention, monetization, and lifecycle marketing.
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Build and productionize advanced models (LTV, churn, propensity, incrementality, MMM) to inform investment and roadmap decisions.
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Partner with Marketing and Finance to optimize budget allocation and ROI.
Experimentation & Causal Inference
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Raise experimentation standards (A/B testing, quasi-experimental methods, incrementality).
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Translate privacy-constrained attribution environments (e.g., SKAd Network, aggregated reporting) into actionable insights.
Data Engineering & Infrastructure
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Architect and maintain scalable ETL pipelines for marketing and product data (e.g., Airflow, Composer).
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Design optimized data models and warehouse schemas for high-performance analytics.
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Build reusable data assets, feature stores, and modular analytics frameworks.
AI-Driven Analytics
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Apply modern AI/ML tools (LLMs, coding assistants, automated workflows) to accelerate modeling and analysis.
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Integrate AI into analytics workflows to improve speed, quality, and reproducibility.
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Promote technical excellence and responsible AI adoption.
Qualifications
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7+ years in data science supporting Marketing, Growth, UA, or Product Analytics (gaming/mobile preferred).
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Proven experience building production-grade predictive models (LTV, churn, propensity, MMM) that drive impact.
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Strong expertise in experimentation, causal inference, and marketing measurement.
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Advanced SQL and Python skills, including scalable ETL and production workflows.
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Experience with BI tools (e.g., Looker) and enabling self-serve analytics.
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Ability to influence senior stakeholders and drive executive-level adoption.
Plus If…
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End-to-end delivery experience (telemetry, QA, ETL, modeling, deployment, dashboards).
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Experience with large-scale datasets.
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Familiarity with Big Query, Composer, and Airflow.
For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.
CA, CO, NJ, NY, and WA Annual Salary Range**$203,000—$290,000 USD**
About Scopely
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 Fox Next, GSN, and Niantic 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: https://www.scopely.com/.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.
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关于Scopely

Scopely
AcquiredScopely, Inc. is an American video game developer and publisher. The company is headquartered in Culver City, California, with offices across North America, Central America, EMEA and Asia, with its largest location in Barcelona, Spain.
1,001-5,000
员工数
Culver City
总部位置
$4.9B
企业估值
评价
4.2
5条评价
工作生活平衡
4.0
薪酬
3.8
企业文化
4.2
职业发展
2.5
管理层
2.8
优点
Great benefits and competitive compensation
Amazing people and passionate team members
Flexible work from home options
缺点
Very difficult career growth and promotion opportunities
Company becoming too big and corporate
Poor communication and slow processes
薪资范围
131个数据点
Junior/L3
L3
Intern
Junior/L3 · Data Analyst
0份报告
$43,910
年薪总额
基本工资
-
股票
-
奖金
-
$37,324
$50,496
面试经验
4次面试
难度
3.3
/ 5
时长
14-28周
录用率
25%
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Multiple Technical Interviews
5
HR Screening
6
Take-home Assignment
7
Offer
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
System Design
Past Experience
新闻动态
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3w ago
I got a job offer and Im devastated
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