web analytics
30 Jan 2020
Job Opportunity : Data Science Lead (130K)
Data Science Lead
Our Client
A Leading International Healthcare Company
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