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We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip.

That is exactly what we are tackling as t-fam! Making sure that our 17+ million users have the best experience in crafting their own adventure.

#LI-Hybrid

Your main duties in flying with us:

• Within the Data Scientist team, to collaborate in delivering AI/ML products
• As part of the organization, to collaborate with engineers from different teams to build successful integration for AI/ML implementation
• Research on the latest technology to continuously improve the existing environment
• Write architecture design and technical documentation
• Administer and monitor running ML services

• Min. 3 years of experience in Software Architecture and Engineering
• Experience in building ML Pipeline/ML Ops
• Experience with Cloud Technology, preferably Google Cloud Platform
• Experience in Data Processing (e.g. batch, stream)
• Experience in understanding the project goal and designing a suitable technical solution
• Proficient in programming, preferably using Python/Java
• Proficient in ML frameworks and libraries (e.g. Tensorflow, PyTorch)
• Solid understanding of Learning concepts (e.g. supervised, unsupervised)
• Good communication skills and comfortable in collaborating with a cross-functional team

In the event that you haven’t received any updates after 3 weeks, your data will be kept and we may contact you for another career destination. Meanwhile, discover more about tiket.com on Instagram, LinkedIn, or YouTube.

About the Role

We are looking for a data scientist intern to join our Data Science team at GoPay - you will create models which help grow the customer base and transactions in GoPay. You will work closely with the business, product and engineering stakeholders to identify and solve some of the most challenging business problems in the payments space. You will have the opportunity to work in a fast-paced environment in a highly cross-functional team and leverage our robust data infrastructure

What You Will Do

• 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 help grow GoPay’s customer base and transactions
• Rapidly prototype data science solutions and be involved in product and feature discussions
• Analyze large volume data and generate insights which will be actionable
• Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution
• Participate in internal and external conferences and workshops

• Fresh Graduates from Computer Science major
• Strong quantitative and problem-solving skills
• Solid understanding of Statistics/ML fundamentals and demonstrated 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
• Experience in recommender system, ranking, multi-armed bandits, search and discovery is a plus

About the Team

GoPay Data Science team builds critical ML components/models which go into the engineering systems which make GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and bring with them a wide set of skills (mathematics, statistics, machine learning, deep learning etc) which we use some of the toughest business problems in GoPay. We are enthusiastic about both data science techniques and methods, as well as the business impact of our models, and have numerous internal forums where sharing, discussions and presentations by the team members happen.

About GoTo Group

GoTo 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, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia 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 Financial

GoTo 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.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

As a Data Scientist you'll be using a scientific methods, algorithms, and systems to extract valuable insights and knowledge from structured and unstructured data in Tokopedia. You'll be play a major part analyzing large volumes of complex data to identify patterns, trends, and correlations that can help organizations make data-driven decisions and solve problems

What will you do

• Perform tasks such as data exploration, cleaning, and feature engineering
• Perform research into state-of-the-art algorithms from research papers with guidance from lead data scientists
• Implement data science algorithms from research papers with guidance from lead data scientists
• Development of APIs from data science models
• Collaborate with team members from data science and other teams to develop data science solutions

• Bachelors in Math, Statistics, Computer science, or Engineering
• Exposure to data science through relevant projects, courses, or competitions
• Hands-on experience: Python - Pandas, Numpy, Scikit learn SQL
• Machine learning models such as random forests, gradient-boosted trees, or neural networks
• Knowledge at least one of the following areas is a plus: Natural Language Processing, Computer VisionI, nformation Retrieval - Search & Recommendations, Fraud detection, Time-series analysis and modelling, Cloud computing for ML.
• Collaborative team player
• Intellectually curious and always learning

About GoTo Group

GoTo 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, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia 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 Financial

GoTo 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.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

As a Senior Data Scientist of Credit Risk, you will work closely with business, product and engineering teams of the GTF merchant lending cluster, to continuously iterate our lending products and services for GoFood merchants, to help accelerate their business growth. You will be developing, analyzing and productionizing various machine learning models for purposes related to credit risk management and go-to-market (GTM) strategies, and partner closely with the other teams to devise policies and strategies that bring the best value from the developed models.

What will you do

• Design, develop and iterate GTM related machine learning models such as propensity model and user profiling models.
• Design, develop and maintain various credit risk scorecard models (A/B/C scores) for GoFood merchant lending business
• Develop other specific models and data insights that are required by the business team in improving the BAU processes, such as merchant whitelisting, underwriting, account management and collection, etc. 
• Engage with business, product and engineering teams on regular cadence and ad hoc meetings, in addressing any issues related to data and our models, as well as strategizing the business roadmap with data insights

• Minimal Bachelor Degree in Computer Science, Statistics, or related field
• Proven record in data science and credit risk areas, with solid understanding of their fundamentals and advances
• Strong analytical and problem-solving skills
• Experience of working with big data and modern machine learning techniques, such as logistic regression, boosting models and deep learning
• Proficient in using Python, SQL, and Excel for modeling and data analysis
• Practical experience experiences in MLOps is a plus
• Excellent written and verbal communication skills

About GoTo Group

GoTo 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, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia 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 Financial

GoTo 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.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

About the Role

Imagine that you are a local merchant selling delicious banana fritters. You are keen to grow your business, so you create an ad on GoFood. Within days, customers all across Southeast Asia are enjoying your tasty snacks.

The Ads and Promo Platform team’s mission is to help our merchant partners grow their businesses by connecting them with millions of GoTo customers. We conduct analyses to help teams make better decisions, and build robust data pipelines to facilitate decision-making and dashboarding, all with the goal of creating a delightful ad experience. You’ll work closely with product managers, software engineers, and fellow data professionals, to drive success on end-to-end analytics initiatives. This is a high-impact role where your work will have a direct influence on company revenue.

What you will do

• Design and develop scalable data models that support robust analytical requirements
• Build and maintain ETL/ELT pipelines in BigQuery for a variety of event data sources
• Design experiments and perform statistical hypothesis testing to support business decisions
• Evangelize a data-driven culture by standardizing metrics and educating stakeholders
• Be a thought partner to product teams by analyzing data and providing recommendations
• Uphold high standards of data quality and help establish best practices in data governance

• BSc in a quantitative field with basic statistics competency
• At least 2 years of experience as a data analyst or analytics engineer
• Demonstrable expertise in Python and SQL
• Practical experience managing data pipelines and tables
• Good communication and critical thinking skills

Immerse yourself in a highly stimulating environment, where your impact will not just be visible but celebrated. Our team, comprising eight diverse data professionals, is an essential force driving the company's revenue growth and product evolution. We have been instrumental in doubling our revenue over the past year thanks to cutting-edge machine-learning initiatives. In addition, we've built a single source of truth for all key business and product metrics, establishing a data-driven culture throughout the organization.

Our mission is multifaceted, spanning from building machine learning systems to data mart development, decision support, and experiment design and analysis. As a team, we believe in the power of collaboration and extreme ownership, as these have been the foundation of our success. We work primarily using Python and SQL, coordinating and tracking our projects through Gitlab, Slack and Asana. 

If you're a data analyst who is keen to drive significant impact in a team that generates millions of dollars in ad revenue, this is the place to be! We are excited to welcome a new member who will contribute to our mission, benefit from our culture, and participate in our next big wins. Will that be you? We certainly hope so.

About GoTo Group

GoTo 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, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia 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 Financial

GoTo 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.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

About the Role

As a senior data scientist in the GTF Risk Data team, you will develop data science models to protect GoPay and its customers. 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 in the payments space. You will work in a fast-paced environment with direct impacts to the business.

What Will You Do

• Combine technical and business knowledge to develop innovative data science solutions
• Rapidly prototype solutions and contribute to product and feature discussions
• Analyze large volume 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 solutioning, from formulating the technical problem to deployment of the solution as part of a cross-functional team of scientists, analysts, product managers, and engineers

• 6+ years of experience developing ML solutions, 2-3 years of fraud risk experience in account takeover, scam, and abuse
• 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
• Ph.D. or Masters in a quantitative discipline (good to have - Experienced - Bachelor)

About The Team

The GTF Data Science team builds critical data science/ML models to make GoPay a safe, trusted and fun way to do payments. Our team members come from diverse backgrounds, and use mathematics, statistics, machine learning, deep learning to solve some of the toughest business problems in GoPay. We are passionate about data science, innovation, and their impacts to the business

About GoTo Group

GoTo 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, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia 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 Financial

GoTo 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.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

Who are we?

Amar Bank is one of the most technologically advanced digital banks in Indonesia. Our leading

digital lending product, Tunaiku has the distinction of being the first FinTech product in

Indonesia. We are also the first digital bank on the cloud. As the first profitable digital bank, we

managed to get listed on the Indonesian Stock Exchange.

How did we manage to do that?

We are changing people’s perception of a bank. We believe we are the innovators who combine

customer focus principles with creating technology-based impact. We incorporate freedom and

flexibility as part of our startup working culture DNA to encourage innovation in creating better

financial solutions for the banking industry. We think of ourselves as, ‘A technology company

with a banking license’. For this reason, we ‘Act like a FinTech, and think like a Bank.’

How did it all start?

Founded on March 15, 1991, in Surabaya as PT Anglomas International Bank (Amin Bank), the

bank was acquired by Tolaram Group and transformed to PT Bank Amar Indonesia (Amar Bank)

in 2014. It has then undergone a significant digital transformation to become one of the

country's forerunning fintech institutions through its award-winning digital lending platform,

Tunaiku.

Our philosophy, mission, and vision

Technology must impact lives, must improve lives. We exist to provide banking to those who

‘need’ and not only to those who ‘want’. Services when provided to those who need at the time

of their need brings smiles. Our vision is to bring 200 million smiles.

More about the bank with startup culture environment

Consist of 1000+ people, you will meet people who love to grow, dream big, and actually have

fun at the workplace! We provide a great working environment that pushes people to grow

outside their comfort zone. People with high drive and ambition find us a very attractive place to

work as their career growth matches their own drive and not any staid policies. Thus we hold

the honor of being awarded “Best Place to Work in Indonesia”.

Recently Amar Bank was awarded as Inspirational Brand from APEA (Asia Pacific Enterprise

Awards) 2022. Of course, our innovation won't stop here. So if you would love to be a part of it,

have a growth mindset, and are constantly hungry for challenges, we invite you to join us in our

journey to ‘Impact Lives’.

Join us today and create #unlimitedinnovations!

Responsibilities

• Leading the full engineering team (Back End, Web, Mobile, SQA, & Research).
• Creating/enhancing processes within Engineering to make effective and efficient product/project delivery. The process is including but not limited to requirement gathering, system/process designing, code development, testing, and monitoring.
• Creating Software Design Patterns to be implemented in organization.
• Along with CTO to design grand Architecture as well as Technical Roadmap to be implemented in organization. Also making sure that the products’ ecosystem is working well. 
• Hire, develop and nurture all Software Engineering talents in the organization.
• Responsible for ensuring that the product vision is realized through excellence in execution by collaborating with VP of Product & Design as well as VP Infrastructure, Operations & Security.
• Program management & engineering execution.
• Together with Research Engineer/Architect work on new technologies research and implementation in the organization.

• Work experience as a VP of engineering or in a similar senior-level position at an engineering department (>50 people)
• Excellent verbal and written communication skills.
• Extensive knowledge of engineering principles and procedures.
• Excellent organizational skills and attention to detail.
• Excellent time management skills.
• Strong analytical and problem-solving skills.
• Strong supervisory and leadership skills.
• Full experience in software development, especially in the Financial Industry (Financial Technology/Digital Banking).
• Experience in implementing distributed systems & microservices architectures.
• Solid experience in implementing Automation Testing at the organization level.

• Successfully established microservices architecture with high availability and reliability

We exist to innovate and maintain the architecture of Amar Bank's products. As part of our main focus to create through technology we ensure the process and technology we use helps maintain and build human connection at scale.

It’s our job to plan, monitor, and control the technology growth so we can provide a faster, more convenient, and more efficient way of performing business transactions.