If you’re a data scientist at heart, this role is for you! because you’ll be mining insights from the sea of data, building data products, and designing experiments with the ability to see the real-time impact of your contribution. You’ll get to work with a talented troop of business leads, product managers and fellow data folks, and spend a majority of your time diving deep into some of the most challenging analytical problems in the Gojek Marketplace - the brain that powers all of Gojek’s services - including Matchmaking, and Pricing streams.nWhat You Will DoUnderstand business concerns and formulate them as technical problems that can be solved using data and math/stats/MLWork with Product managers, Machine Learning Engineers, and Business Users to build, deploy, and scale Data Science solutions on Driver Experience and Earning related initiatives at Gojek that impact the driver’s livelihoodUse your experience in Data Science, Machine Learning, Software Engineering, distributed systems to rapidly prototype and deploy the systems to productionWork with Business teams to continuously refine, improve the systems to cater to ever-changing Gojek needsAnalyze large volume data and generate insights that will be actionableDesign and conduct experiments to measure the impact of ML solutions or product features launched by Gojek Marketplace Team (Pricing and Matchmaking) What You Will NeedBachelor's/Master’s Degree in Computer Science, Statistics, Operation research or other quantitative fields, with 3-5 years of relevant experienceHands-on experience in Statistics/ML fundamentals and demonstrated experience in Python, SQL, and basic visualization toolsSolid knowledge of Data Science and Machine Learning fundamentals, with proven experience to formulate Data Science solutions to business problemsAbility to write clear and concise technical documentationExperience in taking Data Science models to production Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test themKnowing the Following Would be a BonusPreferably, has domain experience in Machine Learning Engineering Experience in Operation Research Experience in remote development using cloud platforms (GCS, AWS, Azure) and data processing frameworks/ schedulers (Flink, Airflow) Experience in software engineering workflow (version control using Git, CI/CD)Prior experience with dbt is a plusnAbout 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, GoToFinancial and GoToLogistics ("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.Please mention the word **PREFERRING** and tag RMzQuMjEzLjQ5LjE3OQ== when applying to show you read the job post completely (#RMzQuMjEzLjQ5LjE3OQ==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.