Data Scientist

Day to Day Insight Global is looking for a Data Scientist to join a large AAA gaming company remotely in Canada for a 6-month contract to hire opportunity. As a part of the Data and Analytics team, you will be supporting some of the largest game titles on a cutting-edge project to find mathematically vigorous new ways of getting games in hands. This team is fast-paced, and passion driven, and requires a Data Scientist that is flexible to drive value, work in an agile environment, and who wants to make immediate impact. The focus of this team is mobile growth analytics, specifically supporting financial data analysis of spend for marketing on live mobile titles. You will be working on all facets of Data Science in a live service product marketing environment, from MMM (Marketing Mix Modelling), LTV (life time value), DAU (daily active users), churn prediction and incrementality. Further, you will be expected to work beyond your scope and be involved in making and tweaking dashboards alongside the customer, basic SQL and excel, and some data engineering capacities alongside the data engineers. These additional capabilities outside the “standard” are what enables this team to drive impact. Customization of models will be common, and there is a lot of opportunity to improve capabilities. This is a cross-functional role and will involve interacting with other teams and skillsets on a daily basis. Must haves PhD in Statistics, Mathematics, Computer Science, or another quantitative field or 3 years relevant professional experience Experience with modelling KPIs that drive a live product, specifically: MMM (Marketing Mix Modelling), LTV (life time value), DAU (daily active users), churn prediction and incrementality Experience working in the marketing field for a product that is a live service and measuring effectiveness of marketing with the data available Deep understanding of Bayesian testing statistics for incrementality Well versed in Python Well versed in SQL Superior verbal, visual, and written communication skills to educate and work with cross-functional teams Plusses Mixed or Fixed effects experience Marketing background light weight MMM experience Computer Science degree Experience with big data technologies such as Hadoop, MapReduce, Hive, and Pig Knowledgeable about data warehouse and non-relational data techniques to work with engineering partners GCP or other cloud experience Passion or experience in gaming

Location: Canada, CA

Posted Date: 10/2/2024