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Data Scientist, Marketing Analytics
Ubisoft
San Francisco, CA, United States
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Company Description
Ubisoft is composed of over 12,000 talented people located in 28 countries across the globe. With around 85% of its staff devoted to game development, Ubisoft has the 2nd largest in-house creative team in the world.
The company’s 27 different creative studios work hand-in-hand each day to deliver rich and innovative gaming experiences that reflect the creativity and diversity of their teams. This cross-studio collaboration model means every team member has the opportunity to participate in challenging projects based on iconic brands including Assassin's Creed®, Tom Clancy's Ghost Recon®, Tom Clancy's Splinter Cell®, Rabbids®, Rayman®, Watch Dogs®, Far Cry®, The Crew®, Just Dance® and more.
With an expansive global distribution network, Ubisoft is also a company that stays in close contact with its local fans.
To learn more, please visit: http://www.ubisoftgroup.com.
Ubisoft is committed to creating an inclusive work environment that reflects the diversity of our player community. We are an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age or disability status.
Job Description
Ubisoft, leading creator, publisher and distributor of interactive entertainment and services, with a rich portfolio of world-renowned brands, including Assassin’s Creed, Just Dance, Tom Clancy’s video game series, Rayman, Far Cry and Watch Dogs, is seeking a Data Scientist, Marketing Analytics.
If you are looking to use your knowledge of data science to create insights in a renowned video game company, this is the job you have been looking for. In a newly established team, based in San Francisco, you will get to influence how we work with data science as you generate insights that are actively put to use.
• Full stack scientist
As a scientist, you will get access to a large panel of tools corresponding to different steps of the analysis. The most commons will be SQL/HiveQL for data extraction, R/Python/Spark for data analysis and Tableau for data visualization.
• Member of a versatile team
The team is fully transverse as we are working with production, marketing, CRM, media, licensing, sales and finance. We are here to help when the questions start to be complex.
• Focus on automatization
Based on your strong background on computer science, you will be in charge of the automatization of scores and segmentations in a Hadoop environment.
• International contribution
You will have to work with the San Francisco teams and also with other teams based all around the world, mainly Montreal and Paris.
Daily activities in the Data Science team To give you an idea of the past and current projects, please find below a non-exhaustive sample of our daily activities.
• Contribution to the customer engagement
The CRM data are composed of millions of players, who they are, what they played split in two databases on Hadoop, the other on Teradata. We have built different models which permit to cluster players for emailing campaign, to select players for betas or to improve the queue of the customer service.
• Contribution to the Brand vision. The brand teams are always
eager to know better their players. To do so, we are using the YouTube public
data stored into our Hadoop to extract trends based on the available meta-data
at user level. We are also using the game tracking data, hundreds of billions
of events per game, to know their game behaviors and hence help to shape the
Brand vision.
• Contribution to the executive management topics. The marketing analytics have a close relationship with the executive management and we are often asked to quickly present an analysis about a hot topic.
Qualifications
• Masters or upper degree in Computer Science
• Experience with advanced analytics
• 3+ years of experience as a software engineer, data engineer or data scientist
• Proficiency in R, Python or Spark
• Proficiency in SQL or Hive QL
• Knowledge of data visualization
• Strong interest in the gaming industry
• Excellent communication and interpersonal skills
• Speak and write English fluently
Additional Information
All your information will be kept confidential according to EEO guidelines.