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Head of Data Science at GO-JEK (Bengaluru, India)

Mission statement for the data organisation is to enable user delight, ensure trust and create asymmetric value for the company through data & advanced analytics

Responsibilities

Hire & mentor to create a high performance team.
Deepen talent pool & capacity
Increase our hiring velocity, without lowering our bar
Build strategic partnerships with global and niche companies that give us acompetitive advantage
Develop and nurture strategic partnerships with Universities in Indonesia, SouthEast Asia and the World
Accountable and responsible for strategic projects/use cases/work streams. Deliver ontime and deliver KRs/outcomes/business impact.
Translate a business problem to a data science/analytical problemb.
Partner with business & product in business case formulation, hypothesisformulation, experiment design, measurement and feedback loop.
People management expectations
Strong communication and stakeholder management10.
Highly encouraged to file patents

Requirements

Expert knowledge in core data science modeling and great programming skills.
Comfortable with research methodologies to address abstract business and product problems with extreme precision.
10+ years of industry experience and graduate degree in Economics/Statistics/Computer Science, or other quantitative discipline or equivalent; Ph.D is a plus.
Deep knowledge of statistics and causal inference.
Demonstrable proficiency writing clean and concise code in Python or R; Excellent in SQL/Spark optimization.
Familiarity with common machine learning methods (clustering, classification, regression, etc.). Experience training and deploying models in production is a plus.
Capable mentor. You enjoy sharing and working with junior team members to uplevel their skills, and are also able to learn from them.
Great collaborator. Product managers and executives are hungry for your output because the findings and implications are so clear, and you have done the extra work to make it accessible to them even after the scientific analysis is over.
You care deeply about insights and impact on the product, not just data and methods.