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职位Scopely

Data Scientist - Pikmin Bloom

Scopely

Data Scientist - Pikmin Bloom

Scopely

JP - Tokyo, Japan

·

On-site

·

Full-time

·

2mo ago

必备技能

Data Analysis

Statistical Modeling

Python

SQL

Business Intelligence

Niantic/Scopely is seeking a talented and passionate Data Scientist to join our team in Tokyo. As a Data Scientist, you will play a crucial role in supporting the development and growth of our live games. You will be responsible for analyzing and interpreting large datasets to provide valuable insights and recommendations to enhance our game's performance and user experience. Statistical proficiency and business intelligence experience are crucial for effective communication and data-driven decision-making. Familiarity with Looker is a big plus.

Responsibilities:

  • Analyze and interpret complex datasets to identify patterns, trends, and opportunities for improving gameplay, engagement, and monetization.

  • Collaborate with cross-functional teams, including game designers, product managers, and engineers, to define and prioritize data-driven objectives and strategies.

  • Create and deliver regular reports, dashboards, and visualizations to communicate insights and recommendations to stakeholders.

  • Develop and maintain data models, algorithms, and statistical models to support predictive analytics and forecasting.

  • Collaborate with the game engineering team to ensure data quality, integrity, and availability for analysis.

  • Stay up-to-date with industry trends, best practices, and emerging technologies in data science and business intelligence.

Requirements:

  • Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, or related disciplines).

  • 5+ years of experience in a similar and data analytics focused role.

  • Solid understanding of business intelligence concepts, methodologies, and tools. Familiarity with Looker or similar business intelligence platforms is a plus.

  • Proven experience in data analysis, statistical modeling, and data visualization using tools such as Python, R, SQL, or similar.

  • Ability to translate complex data findings into actionable insights and recommendations.

  • Strong problem-solving skills and ability to work independently as well as collaboratively in a fast-paced, dynamic environment.

  • Passion for gaming and familiarity with Niantic games is highly desirable.

  • Business Proficiency in both Japanese and English is preferred.

Join our team and contribute to the success of Niantic games by leveraging your data science expertise to drive data-informed decision-making and enhance the player experience !!

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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关于Scopely

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

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