Senior Data Scientist, Marketing

Rockstar Games•New York, NY

4h•Onsite

About The Position

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Senior Data Scientist of Marketing who possesses a passion for videogames and creating valuable insights from a variety of data sources. This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan.

Requirements

5+ years of experience in data science or similar role within the gaming, marketing, finance, or technology fields required.
4+ years of experience working with SQL, Python, and/or PySpark to perform exploratory analyses with optimized queries.
4+ years of experience in data visualization and hands on working with complex data.
2+ years of experience developing machine learning models to solve complex business problems.
Excellent written and verbal communication skills with the ability to communicate and visualize complex information in a meaningful way to a variety of audiences.
Strong interpersonal skills with the ability to develop and maintain relations with diverse teams and stakeholders, at all hierarchal levels.
Ability to work directly with a variety of stakeholders to understand their needs and provide relevant and actionable solutions.
Ability to draw inferences from disparate pieces of data, identifying key findings and linking to business strategies or objectives.

Nice To Haves

Experience with Snowflake and/or Databricks.
Game industry experience strongly desired.
Experience with marketing data and deliverables preferred.

Responsibilities

Assure Rockstar’s ongoing competitive advantage through statistical analysis, machine learning, and useful monitoring reports to identify patterns and predict outcomes.
Partner with marketing stakeholders to define business objectives, translate those objectives into data questions, and identify the appropriate analytical solution to drive insights and data-informed business decisions.
Build self-service reporting and other data products that provide flexibility for business stakeholders to investigate questions while maintaining accuracy, efficiency, and clarity in results.
Drive creation and adoption of predictive models for marketing campaign performance, leading implementation across stakeholders.
Generate marketing reports, dashboards, and insights collaborating with the marketing analytics team, across analytics teams, and with our stakeholders.
Evaluate performance of marketing campaigns, collating data across multiple marketing channels.
Generate insights at scale, prioritizing automation of reports and data standardization.
Possess subject matter expertise for Marketing Analytics and build the team’s analytics capabilities.
Use machine learning for predictive modeling of our player and marketing channel data to help inform targeting strategies and campaign goals.
Maintain and enhance existing marketing reports, ensuring accuracy, consistency, and relevance to executive stakeholders.