Job specific responsibilities:
- Develop and implement a data strategy aligned with business objectives.
- Identify data sources and requirements.
- Ensure data quality and integrity.
- Build and maintain data pipelines.
- Explore new data sources and technologies.
- Oversee the development and deployment of predictive models.
- Evaluate model performance and accuracy.
- Optimize models for production environments.
- Ensure model explain ability and transparency.
- Responsible for communicating analytics model behavior/results to business.
- Communicate effectively with stakeholders at all levels.
- Translate complex technical concepts into business terms.
- Build strong relationships with business partners.
- Present data-driven insights and recommendations.
- Provide recommendations for plans, programs, strategies, policies, and budgets.
- Responsible for the design of algorithms that require different models/methods to be used together.
- Prepare different kinds of reports that show tasks progress.
- Coach, supports, advise subordinates regularly, furthermore, appraise their performance.
Specifications (Qualifications, Experience and Skills):
- Minimum 5 years of relevant experience.
- A comprehensive knowledge of modern data science and product/web analytics tools and techniques, including Python and associated data science ecosystem, Machine Learning, Google Cloud Data platform: BigQuery, Dataflow, etc.
- Proven experience managing in an Agile environment; using analytically-oriented languages such as Python or R.; working with large, complex datasets applying big data technologies and script language, including Python, Java, and C/C++.
- Advanced quantitative and statistical analysis skills to solve business problems and provide practical business insight using data and a quantitative/scientific approach.
- Minimum of bachelor's degree in Statistics, Operations Research, Mathematics, Physics, Computer Science, or Engineering, or in a related field
- MBA is preferred.
