Data Scientist
Manila, Samoa
CORINTHIANS PLACEMENT SERVICES, INC.
DMW License No: POEA-134-LB-070519-R2F EMC BLDG, EMC DRIVE, ALABANG-ZAPOTE, PAMPLONA 3, LAN PINSA, LAS PINAS, Metro Manila, Philippines
7-751-1487
Principal / Employer
Multi-national Company
Qualifications
Male or Female26 Years Old and AboveMinimum of 3 Years ExperienceAt Least Bachelor's / College DegreeResponsibilities
The key aspects of this role are -
· Use appropriate statistical techniques to develop appropriate analytic solutions for informing customer acquisition and customer retention strategies
· Develop appropriate methodology for analyzing and interpreting results from product features A/B testing
· Work on multiple analytic projects such as user segmentations, user engagement to purchase funnel analysis, user life time value analysis
· Provide data, insights and reporting support to various teams
· Drive the collection of new data and the refinement of existing data sources
· Prepare data for statistical analysis and machine learning algorithms
· Maintain and advance analytic database. Conduct periodic data QA
· Working with technical and non-technical customers to design experiments and communicate statistical results
· Leading training and informational sessions on statistics
· Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business
Qualifications & Experience
· Ph.D. in a relevant technical field such as Statistics, Math and Computer science, Mathematics, Economics, Analytics with 10+ years experience in a relevant Data Scientist role post post-graduation or PhD with >8 years experience
· Extensive experience solving business problems using quantitative approaches
· Comfort with extracting, manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
· Strong passion for data driven research for answering hard questions with data
· Early adopters of new tools, technologies etc
· Decent understanding of business
· Structured problem solving skills to translate problems into solutions
· Flexible analytic approach that allows for results at varying levels of precision
· Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
· Familiarity with relational databases and intermediate+ level knowledge of SQL
· Expert knowledge of R; Experience with other analytic tools such as Looker – a strong plus
· Experience working with large data sets, familiarity/experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
· Problem solving and analytical abilities
· Proficiency in any of the statistical software such as R, S-plus, SAS, STATA, python programming etc.
· Good verbal and written communication skills and an ability to work in a team environment
· A solid grounding in applied statistics including expertise in at least one of the following is a must: Reliability models, Markov Models, Stochastic models, Bayesian modeling, classification models, cluster analysis, neural network, non parametric methods, time series analysis, forecasting and multivariate statistics
· Experience in building and deploying business relevant analytics assets
· Experience in real time analytics asset development & deployment
· Experience in Applied Machine learning is an added advantage
· Experience in any of the domains:
a. Retail
b. Consumer Products marketing
c. Network
d. Supply Chain
e. F&A
f. Procurement
g. Life Science/Health Care
h. eCommerce
i. Banking Finance
j. Health Care
k. Human Resources
l. Digital marketing
Interested applicants may send your application to [email protected]