Full-Time

Data Scientist

User Acquisition, Japanese Speaker

Posted on 10/7/2024

Niantic

Niantic

501-1,000 employees

Develops augmented reality games and experiences

VR & AR
Gaming

Compensation Overview

$135k - $176kAnnually

+ Bonus + Equity

Junior, Mid

San Francisco, CA, USA

Requires in-office presence 2 days a week on Monday and Wednesday.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
R
SQL
Data Analysis
Requirements
  • A degree in a quantitative field like Computer Science, Statistics, Mathematics, Economics, or related areas is preferred. Equivalent experience will also be considered.
  • Solid understanding of data engineering and statistical methodologies, and tools. Familiarity with Looker or similar business intelligence platforms is a plus.
  • Previous experience in UA data analysis, statistical modeling, and data visualization using tools such as Python, R, SQL, or similar.
  • Ability to translate complex data findings into actionable data narratives for a non-technical audience, including executives and board members.
  • Strong problem-solving skills and the ability to work independently as well as collaboratively in a fast-paced, dynamic environment.
  • Passion for gaming and familiarity with Monster Hunter Now is highly desirable.
  • Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice.
  • Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others.
Responsibilities
  • Analyze and interpret complex datasets to identify patterns, trends, and opportunities for growing Monster Hunter Now through new user acquisition.
  • Maintain and enhance SKAN ETL pipelines and conversion value methodology to ensure rigorous data collection and analysis.
  • Collaborate with diverse teams comprising marketing, product managers, and engineers to identify and prioritize data-driven objectives and strategies.
  • Generate and present regular reports, dashboards, and visualizations to effectively communicate actionable insights and recommendations to executives and various teams.
  • Develop, maintain, and interpret LTV prediction modeling and ROAS calculations to optimize user acquisition campaigns.
  • Stay up-to-date with mobile gaming industry trends, the UA landscape, and emerging technologies in data science and data engineering to ensure our strategies remain world-class.
  • Collaborate with cross-functional team members, including regular and reliable attendance and participation in meetings.
  • Required in-office 2 days on Monday and Wednesday.

Niantic creates augmented reality (AR) experiences that combine the digital and real worlds, encouraging users to explore and interact with their environment. Their popular AR games, such as Pokémon GO and Ingress, engage millions of players globally by promoting outdoor activity and social interaction. The company generates revenue through in-app purchases, partnerships with local businesses, and branded merchandise. Niantic's Lightship platform serves as a powerful AR engine, enabling both their games and other developers to create immersive applications. The goal of Niantic is to enhance real-world experiences through technology, fostering a sense of community and exploration among users.

Company Stage

Series D

Total Funding

$753.1M

Headquarters

San Francisco, California

Founded

2011

Growth & Insights
Headcount

6 month growth

1%

1 year growth

2%

2 year growth

-12%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with Augment Therapy opens new markets in healthcare and wellness.
  • Large Geospatial Model positions Niantic as a leader in AI-driven geospatial technology.
  • Pokémon Playgrounds enhances social engagement and offers new monetization strategies.

What critics are saying

  • Privacy concerns over data collection could lead to regulatory scrutiny.
  • New features like Pokémon Playgrounds may face community backlash.
  • Reliance on player data for AI models might raise ethical questions.

What makes Niantic unique

  • Niantic leads in AR gaming with hits like Pokémon GO and Ingress.
  • Lightship platform supports large-scale AR interactions, available for external developers.
  • Niantic's AR games encourage outdoor activity and social interaction.

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