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求人Scopely

Data Scientist - Marketing & Product

Scopely

Data Scientist - Marketing & Product

Scopely

US - San Francisco, United States

·

On-site

·

Full-time

·

1mo ago

必須スキル

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

  • Design scalable measurement frameworks across acquisition, retention, monetization, and lifecycle marketing.

  • Build and productionize advanced models (LTV, churn, propensity, incrementality, MMM) to inform investment and roadmap decisions.

  • Partner with Marketing and Finance to optimize budget allocation and ROI.

Experimentation & Causal Inference

  • Raise experimentation standards (A/B testing, quasi-experimental methods, incrementality).

  • Translate privacy-constrained attribution environments (e.g., SKAd Network, aggregated reporting) into actionable insights.

Data Engineering & Infrastructure

  • Architect and maintain scalable ETL pipelines for marketing and product data (e.g., Airflow, Composer).

  • Design optimized data models and warehouse schemas for high-performance analytics.

  • Build reusable data assets, feature stores, and modular analytics frameworks.

AI-Driven Analytics

  • Apply modern AI/ML tools (LLMs, coding assistants, automated workflows) to accelerate modeling and analysis.

  • Integrate AI into analytics workflows to improve speed, quality, and reproducibility.

  • Promote technical excellence and responsible AI adoption.

Qualifications

  • 7+ years in data science supporting Marketing, Growth, UA, or Product Analytics (gaming/mobile preferred).

  • Proven experience building production-grade predictive models (LTV, churn, propensity, MMM) that drive impact.

  • Strong expertise in experimentation, causal inference, and marketing measurement.

  • Advanced SQL and Python skills, including scalable ETL and production workflows.

  • Experience with BI tools (e.g., Looker) and enabling self-serve analytics.

  • Ability to influence senior stakeholders and drive executive-level adoption.

Plus If…

  • End-to-end delivery experience (telemetry, QA, ETL, modeling, deployment, dashboards).

  • Experience with large-scale datasets.

  • 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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Scopelyについて

Scopely

Scopely

Acquired

Scopely, 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

従業員数

Culver City

本社所在地

$4.9B

企業価値

レビュー

4.2

5件のレビュー

ワークライフバランス

4.0

報酬

3.8

企業文化

4.2

キャリア

2.5

経営陣

2.8

良い点

Great benefits and competitive compensation

Amazing people and passionate team members

Flexible work from home options

改善点

Very difficult career growth and promotion opportunities

Company becoming too big and corporate

Poor communication and slow processes

給与レンジ

131件のデータ

Junior/L3

L3

Intern

Junior/L3 · Data Analyst

0件のレポート

$43,910

年収総額

基本給

-

ストック

-

ボーナス

-

$37,324

$50,496

面接体験

4件の面接

難易度

3.3

/ 5

期間

14-28週間

内定率

25%

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Multiple Technical Interviews

5

HR Screening

6

Take-home Assignment

7

Offer

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

System Design

Past Experience