Key Responsibilities:

📍Building and maintaining a collaborative relationship with Senior Executive Leaders across all functions to drive positive business outcomes. 📍Responsible for the Business Intelligence and Analytic strategy, including vision and roadmap for capabilities and technologies. 📍Utilises a diverse knowledge of data science topics to scope problem statements 📍Constructively participates or runs design sessions with a team to discuss all the possible solutions to a defined problem. 📍Works with senior members of the team and stakeholders to define the measurement of success for a project and ensures viability of the measurement 📍An understanding of at least one branch of inferential statistics, multiple topics of machine learning and how to apply them appropriately within a business context 📍Interpreting data, analyzing results using statistical techniques and providing ongoing reports. 📍Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. 📍Acquiring data from primary and secondary data sources and maintaining databases/data systems 📍Identifying, analyzing and interpreting trends or patterns in complex data sets 📍Working with management to prioritize business and information needs 📍Locate and define new process improvement opportunities 📍Working across different departments (Product, CRM, Finance, SEO, Marketing) to determine best metrics, reports, dashboards and analysis needed to drive the business and working with the appropriate teams to implement them. 📍Creating and delivering presentations that touch on all parts of the organization. 📍Providing leadership to a team of talented data analysts. 📍Other additional duties as required.

Qualifications:

📍A Master’s Degree, or equivalent degree, in Mathematics, Computer Science, Statistics or Economics is preferred. 📍A minimum of 3-5 years hands on experience in a similar role or in a data science orientated role 📍Experience in data models, reporting packages and proficient with languages: Python and SQL 📍Displays an understanding of at least one branch of inferential statistics, multiple topics of machine learning and how to apply them appropriately within a business context 📍Mathematically minded, and comfortable with statistics, probability and logical problems. 📍You have experience in the full lifecycle of developing, deploying and maintaining machine learning models in cloud environments (e.g. Databricks, GCP) 📍Able to describe technical concepts and topics to laymen stakeholders 📍Deep understanding of the best practice for data analysis and visualization platforms. 📍Ability to write comprehensive reports 📍Strong verbal and written communication skills 📍An analytical mind and inclination for problem solving 📍Fluency (both spoken and written) in English. Additional languages would be considered an asset 📍Ability to work independently and quickly to produce high quality work requiring minimal oversight or correction 📍Demonstrate a high level of attention to detail 📍Ability to multi-task and to work in an efficient way 📍Previous experience in the online casino industry is an advantage.