Econolytics - Head - Data Science

As our Head Of Data Science you will be responsible for the creation of new data science capabilities for the business by envisioning and executing strategies that will influence the improvement of the business's performance by enabling informed decision making. Pulling from your extensive experience, you will gather, analyze, identify and lead actionable data insights to solve real complex challenges. And you'll help build the most successful web/mobile gaming platform, with games played by millions. You will be a part of senior leadership, and work directly with the executive team.

Responsibilities -

- Leverage complex data algorithms and numerical methods for forecasting, simulation and predictive analysis, designed to optimize key decisions and metrics such as retention, engagement and operations.

- Work with all teams in the company to understand, plan and drive data based actionable decisions, championing the Data Science culture.

- Analyse consumer data to drive insight on how to target effectively, retain customers at low cost, and optimize engagement metrics.

- Develop a reporting processes for all KPIs.

- Recruit, develop and coach talent.

- Champion awareness of data indicators within the organisation and teach everyone to proactively identify data patterns, growth trends and areas of improvement.

Qualifications

- MBA or an advanced degree in a quantitative discipline.

- 6+ years in Data Science and Analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for end-to-end product, marketing and business operations.

- Knowledge of advanced analytics and market research approaches, including but not limited to Regression, GLMs, survival modeling, forecasting, machine learning, decision trees etc.

- Statistical and analytic tools expertise R+Vertica, SAS etc.

- Expertise in analysis Algorithms, Numerical Methods and Data Tactics used to drive operational excellence, user engagement and retention.

- Expertise in visualisation platforms like Qlikview, Tableau, Spotfire, and Excel.

- Understanding of Business Processes, Digital Marketing & Product Management. Ability to creatively solve business problems through innovative approaches.

- Clear understanding of Cohorts and key first level metrics, such as CPAs, Latency and second level derivative metrics.

- Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects.

- Highly analytical with the ability to collate, analyse and present data, and drive clear insights to decisions that improve KPIs.

- Ability to effectively communicate and manage relationships with senior management, company divisions and partners.