Create models to help grow the customer base and transactions in GoPay
Work closely with business, product and engineering stakeholders to identify and solve payments business problems
Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and grow transactions
Rapidly prototype data science solutions and participate in product and feature discussions
Analyze large volumes of data and generate actionable insights
Own end-to-end solutioning from problem formulation to deployment (along with engineers)
Participate in internal and external conferences and workshops
Leverage robust data infrastructure in a fast-paced, cross-functional environment
Requirements
At least 4-6 years of relevant experience
Strong quantitative and problem-solving skills
Solid understanding of Statistics/ML fundamentals
Demonstrated experience in Python, R
Communication skills to engage with business stakeholders and effectively communicate analytical results
Ability to write clear and concise technical documentation
Ph.D. or Masters in a quantitative discipline is a plus
Experience in recommender systems, ranking, search and discovery is a plus
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GoTo is the largest technology group in Indonesia, combining on-demand, e-commerce and financial services through the Gojek, Tokopedia and GoTo Financial brands. It is the first platform in Southeast Asia to host these three essential use cases in one ecosystem, capturing a majority of Indonesian consumer household expenditure.
10,000+ employees
Data Scientist
18 minutes ago
🏢 Jakarta – Onsite
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
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📋 Description
Create models to help grow the customer base and transactions in GoPay
Work closely with business, product and engineering stakeholders to identify and solve payments business problems
Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and grow transactions
Rapidly prototype data science solutions and participate in product and feature discussions
Analyze large volumes of data and generate actionable insights
Own end-to-end solutioning from problem formulation to deployment (along with engineers)
Participate in internal and external conferences and workshops
Leverage robust data infrastructure in a fast-paced, cross-functional environment
🎯 Requirements
At least 4-6 years of relevant experience
Strong quantitative and problem-solving skills
Solid understanding of Statistics/ML fundamentals
Demonstrated experience in Python, R
Communication skills to engage with business stakeholders and effectively communicate analytical results
Ability to write clear and concise technical documentation
Ph.D. or Masters in a quantitative discipline is a plus
Experience in recommender systems, ranking, search and discovery is a plus
Apply Now
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