Data Scientist

ResponsibilitiesRecommends & implements best practices for data collection, processing and structuring.Updates internal systems to ensure relevant and accurate data is captured for use by the team and stakeholders.Utilizes advanced analytical techniques to identify insights & opportunities to improve and enhance marketing initiative returns.Develops & maintains regular management reports & dashboards on business performance including but not limited to KPI tracking for customer segments, marketing initiatives and projects.Present findings to stakeholders to drive improvements and solutions from concept through to delivery.Mentors & shares knowledge with team members.Builds and maintains database effectively to help facilitate modeling, analysis & reporting needs.Scopes and develops relevant new reports & dashboards in a timely manner to track business performance.II. JOB SPECIFICATIONS Educational RequirementTertiary qualifications in Statistics, applied mathematics, engineering, applied science or related discipline.Experience Requirement2-3 years' experience in data science / machine learning.Gaming experience highly regarded but not essential.Other QualificationsStrong communication skills and fluency with both technical & non-technical stakeholders.Strong understanding of marketing concepts such as customer value cycle, segmentation practices.Expertise in a range of data mining, visualization and statistical techniques.Strong programming skills, including SQL, Python, SAS, R, and depending on the scope of project, text mining or machine learning.High level of organizational skills & effective communicator.Knowledge of the gaming industry & business model is an advantage.Amenable to flexible schedule and able to work outside the standard work week as business needs dictate.
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