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Data Scientist

Job Location: Manila

Job Number: 10501


- Job description

• Develop an understanding of key business metrics / KPIs in order to provide clear, compelling analysis that shapes the direction of our business
     • Use appropriate statistical techniques (such as user segmentations, user engagement to purchase funnel analysis, user life time value analysis) to develop appropriate analytic solutions for informing customer acquisition and customer retention strategies
     • Drive the collection of new data and the refinement of existing data sources in order to insights for statistical analysis and machine learning algorithms
     • Maintain and advance analytic database and conduct periodic data QA
     • Work with technical and non-technical customers to design experiments and communicate statistical results
     • Lead training and informational sessions on statistics
- Masters Degree or PhD in a relevant field such as Statistics, Math and Computer Science, Mathematics, Economics and Analytics with more than 7 years experience in a Data Scientist role
     - Extensive experience in solving business problems using quantitative and statistical approaches
     - A solid grounding in applied statistics including expertise in at least one of the following
     a. Reliability, Markov, Stochastic, Bayesian and Classification Models
     b. Cluster Analysis
     c. Neural Network
     d. Non-parametric Methods
     e. Time Series Analysis
     f. Forecasting and Multivariate Statistics
     - Comfort with extracting and analyzing complex data
     - Strong passion for data driven research
     - Experience in real time analytics asset development
     - Expert knowledge in any of the statistical software
     - Experience working with large data sets
     - Familiarity with relational databases and intermediate level knowledge of SQL
     - Problem solving and analytical abilities in order to translate problems into solutions at varying levels of precision
     - Ability to communicate complex quantitative analysis in a clear manner
     - Good verbal and written communication skills and an ability to work in a team environment
     Experience in building and deploying business relevant analytics assets
     - Decent understanding and experience in Retail, Consumer Products Marketing, Network, Supply Chain, F and A, Procurement, Life Science, eCommerce, Banking Finance, Health Care, Human Resources and Digital Marketing

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