Associate Data Scientist

Scopely•Sunnyvale, CA

2d•$174,304 - $202,500•Hybrid

About The Position

Analyze and interpret complex datasets to identify patterns, trends, and opportunities for improving Niantic's 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. Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings. May lead or supervise junior team members. Partial telecommuting permitted.

Requirements

Master’s degree or foreign equivalent in Computer Science, Data Analytics Engineering, Data Science, Statistics, or related quantitative field (or foreign equivalent).
1 year of experience in the job offered, as a Data Analytics Engineer Intern, Marketing Analyst Intern, Game Operation Intern, CRM Analyst, or a related occupation.
SQL
Python
Machine Learning
R
Statistics
Data Visualization
Data Modeling

Responsibilities

Analyze and interpret complex datasets to identify patterns, trends, and opportunities for improving Niantic's 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.
Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings.
May lead or supervise junior team members.