Senior Data Scientist - Risk
Jakarta
GoTo Group
Kami adalah perusahaan teknologi nomor 1 di Indonesia. GoTo berdedikasi untuk menciptakan dampak sosial berskala besar di manapun kami beroperasi.
About the Role
As a senior data scientist in the GoTo Risk Data Science team, you will develop data science models for On-Demand Services (aka Gojek). You will have the opportunity to work with large-scale data to derive new intelligence and use cutting-edge data science techniques. You will partner with Risk, product, and engineering stakeholders to identify and solve some of the most impactful and stimulating business problems. You will work in a fast-paced environment with direct impacts to the business.
One of our most fundamental pillars is to be the safest and most trusted platform for our customers, merchants, drivers, and partners. We are a team of data scientists, analysts, product managers, and engineers passionate about solving complex problems and driving real impact for the business. Spread across Jakarta, Singapore, and India, we are united by a shared goal: to build the best anti-fraud capabilities in Indonesia.
About GoTo GroupGoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo FinancialGoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
#LI-ONSITE
As a senior data scientist in the GoTo Risk Data Science team, you will develop data science models for On-Demand Services (aka Gojek). You will have the opportunity to work with large-scale data to derive new intelligence and use cutting-edge data science techniques. You will partner with Risk, product, and engineering stakeholders to identify and solve some of the most impactful and stimulating business problems. You will work in a fast-paced environment with direct impacts to the business.
What You Will Do
- Combine technical and business knowledge to develop innovative data science solutions for On-Demand Services (aka Gojek), such as Driver Trust & Safety, incentive abuse
- Rapidly prototype solutions and contribute to product and feature discussions
- Analyze large volumes of data and generate actionable insights
- Experiment with different ML techniques and research the latest technologies (e.g. LLM) to determine the best approach
- Own end-to-end solutions, from formulating the technical problem to deployment of the solution as part of a cross-functional team of scientists, analysts, product managers, and engineers
What You Will Need
- 4 - 6 years of experience developing ML solutions, 2-3 years of fraud risk experience
- Experience in driver risk, consumer risk, and merchant risk is a plus
- Strong quantitative and problem-solving skills
- Solid understanding of Statistics/ML fundamentals and experience in Python, R
- Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
- Ability to write clear and concise technical documentation
- Bachelors or Masters in a quantitative discipline. PhD a plus
One of our most fundamental pillars is to be the safest and most trusted platform for our customers, merchants, drivers, and partners. We are a team of data scientists, analysts, product managers, and engineers passionate about solving complex problems and driving real impact for the business. Spread across Jakarta, Singapore, and India, we are united by a shared goal: to build the best anti-fraud capabilities in Indonesia.
About GoTo GroupGoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo FinancialGoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
#LI-ONSITE
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Category:
Data Science Jobs
Tags: Engineering Fraud risk LLMs Machine Learning PhD Python R Research Statistics
Region:
Asia/Pacific
Country:
Indonesia
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
BI Developer jobsData Engineer II jobsStaff Data Scientist jobsPrincipal Data Engineer jobsSr. Data Engineer jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsData Science Manager jobsData Manager jobsData Science Intern jobsSoftware Engineer II jobsDevOps Engineer jobsBusiness Intelligence Analyst jobsJunior Data Analyst jobsData Analyst Intern jobsData Specialist jobsBusiness Data Analyst jobsLead Data Analyst jobsStaff Software Engineer jobsSr. Data Scientist jobsSenior Backend Engineer jobsData Governance Analyst jobsAI/ML Engineer jobsData Engineer III jobsResearch Scientist jobs
Consulting jobsAirflow jobsMLOps jobsOpen Source jobsKPIs jobsKafka jobsJavaScript jobsEconomics jobsLinux jobsTerraform jobsNoSQL jobsData Warehousing jobsComputer Vision jobsGoogle Cloud jobsGitHub jobsRDBMS jobsPostgreSQL jobsR&D jobsScikit-learn jobsStreaming jobsPhysics jobsData warehouse jobsBanking jobsHadoop jobsdbt jobs
Scala jobsLooker jobsPandas jobsOracle jobsBigQuery jobsClassification jobsReact jobsRAG jobsCX jobsScrum jobsDistributed Systems jobsPySpark jobsIndustrial jobsPrompt engineering jobsELT jobsJira jobsMicroservices jobsRedshift jobsGPT jobsRobotics jobsTypeScript jobsOpenAI jobsLangChain jobsSAS jobsJenkins jobs