Top Executives
30 Jan 2020
Job Opportunity : Data Science Lead (130K)
Position
Data Science Lead
Our Client
A Leading International Healthcare Company
Location
Bangkok
Report to
Commercial Business Director
Responsibilities :
- Collaborating with the in-country stakeholders to understand the business problem and desired business outcome
- Collaborate with regional resources to execute and deliver on key projects
- Defining detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
- End-to-end delivery of multiple small to large projects individually, or as part of a project team, within timelines and budget
- Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations
- Research industry metrics and business context and bring this context to bear in analyses
- Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques
- Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
- Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
- Oversee deployment and implementation of analytics solutions, and track business value impact
- Develop strategies and recommendations on testing and monitoring analytical model performance in the business context
Qualifications :
- Minimum of 7 years of analytical experience in applying statistical solutions to business problems
- Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
- Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive
- Proficiency in some of the following statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc
- Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in B2B sales and marketing, digital analytics is important