Description
Data Scientist
Develop segmentations, predictive models, and statistical insights using appropriate tools
Analyse data deeply to understand patterns and trends
Transform these insights into actionable reports, targeting algorithms, and personalisation filters
Understand key drivers of rules/model variation and communicate insights to regional and global executives
Institutionalise customer analytics in business processes and decision making, both strategic and tactical
Provide technical expertise in statistical analysis, mathematical modelling, data mining/machine learning
Partner with business units to challenge their thinking, provide direction
Work with global teams on ad-hoc projects and take a key role in international projects
Share best practices with analysts and managers located around the world
Have fun while driving innovation at one of the top brands on the Internet with the help of cutting edge technologies.
Some exciting projects to work on in the short-term are:
Build a marketing attribution model to effectively outline the contribution of each marketing channel and campaign within the user journey
Guide the consumer life time value (CLV) measurement to unearth long-term value of users
Requirements:
Strong mathematical, statistical, and scientific modelling skills
Experience in segmentation building, predictive analytics, and statistical modelling
Adept at problem solving using both textbook methods and novel viewpoints
Proficiency in SQL and handling large datasets
Proficiency in SAS, R, Matlab or other analytics/data mining package
Familiarity with Hadoop a plus
Able to work in Tandem with business partners to formulate and solve tractable projects
Able to translate a high-level directions into practical projects and lead/drive their completion with minimal supervision
Pro-active. Organised. Practical. Solution oriented.
Strong interpersonal skills and an appreciation of diversity in team-work
Basic Qualifications:
4+ years of experience in Customer Analytics
Quantitative degree (Physics, Electrical Engineering, Statistics, Computer Science, Mathematics, Economics, Finance, ...)
Nice-to-Have Requirements:
Previous work experience in Marketing Data Science and understanding of Attribution Models
Previous experience in Consumer Life Time value models