Decision Scientist – Driver Ops
Company Name:-
GO-JEK
Job Location:-
Bengaluru, Karnataka
Job Summary:-
About the Role
As our Decision Scientist for the Driver Ops team, you’ll focus on elevating our driver-partnersÂ’ experience, ensuring they have a cordial, mutually beneficial, and hassle-free relationship with Gojek.
You’ll analyze and monitor driver-partner business metrics, devise data/stats-based solutions to technical barriers, and (most importantly), understand, relay, and resolve the issues our driver-partners face during the course of the day (i.
e.
traffic patterns, inclement weather, long wait times, rude customers, anxiety of not getting orders, COVID protocols).
With Business & Product stakeholders, you’ll make data-driven decisions that will ensure our driver-partners are given the experience, care, and platform they deserve.
What You Will Do
Be a thought partner to the Product and Business teams in terms of relaying driver-partner experiences and concerns
Analyze and monitor business metrics (through reporting and dashboards) with Product and Business stakeholders
Experiment first approach to drive insights for our products
Understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML
Build self-serve data products (such as data marts) to reduce time to insights
Communicate with Product and Business stakeholders to drive data initiatives
What You Will Need
At least 4 years of experience in statistical analysis and building machine learning models for product applications
Expert proficiency in SQL, and strong experience using a data visualization and dashboarding tool (e.
g.
Tableau, Metabase, Google Data Studio)
Ability to analyze a business problem independently – including data manipulation, hypotheses formulation, experimental design and statistical analysis
Strong knowledge of essential data science libraries, including Pandas, Numpy, Scipy, and Scikit-Learn
Experience in building robust ML/AI models
An interest in learning more about the changing ML/AI space, and a bias towards using this knowledge to enhance our products
A strong business sense with stellar critical thinking and communication abilities to effectively collaborate with a wide range of stakeholders
Experience in deploying machine learning models
About the Team
Our Driver Part
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