Data Scientist IIIAristocratMontreal Quebec H3B 5L1 Canada24 days agoApplySaveSummaryThe Data Scientists are responsible for applying a wide variety of statistical and analytical techniques to business problems to glean valuable insights in support of key strategic business initiatives. They apply analytical rigor and statistical methods to data and are comfortable manipulating and analyzing complex, high-volume, and high-dimensionality data from varying sources. Incumbents are effective communicators capable of independently driving issues to resolution and communicating insights to non-technical audiences.Why this roleThis person will work with large and complex data sets, with the autonomy to make a huge impact on the success of our titles. The Data Scientist will work as part of an experienced and highly skilled team with opportunities to learn and develop.What you'll doUses inferential and descriptive statistics to analyze data and provide answers to business questions.Applies complex transformations to cleanse and shape data sets prior to analysesDoes simple modeling, develops computational prototypes with minimal guidance in addition to exploratory data analysis.Uses effective visualization techniques to present analysis findings.Easily understands business problems and translates them into analytical requirements and tasks.Writes moderately complex to advanced SQL in addition to other programming languages to understand source system data and identify potential issues with it.Applies sampling techniques for selecting representative data set features.Collaborates with other BI teams on the implementation of data Science and big data projects.What we're looking forAmbiguity - able to deal with moderate levels of ambiguity by bringing clarity to the problem and communicating plans toward a solution with both technical and non-technical people.Leadership - able to direct project work of others, able to provide technical mentorshipCommunication - able to talk, write, and listen effectively with business peers as well as junior members.B usiness Acumen - understands key divisional business drivers, follows important game KPIs, familiar with key competitors.Self-directed - suggests changes to high value process improvements, drives initiatives independently, maintains status updates, delivers project work in a timely manner with little supervision.Familiarity with relational databases, star schema structures.Good understanding of visualizations techniques and tools.Bachelor/Master/PhD degree or equivalent work experience in Computer Science or a related discipline such as Statistics, Mathematics, Economics, etc. or equivalent work experience in Computer Science or a related discipline such as Statistics, Mathematics, Economics, etc.Experience using at least one programming language, preferably Python, to move and parse data sets.Experience with any of the following statistical packages/programs R, SAS, SPSS Create Your Profile — Game companies can contact you with their relevant job openings. ApplySave