Lowongan Kerja 2024 : Lead Data Scientist (Analytics) – Transaction Platform
Company: Grab
Job description: Company DescriptionAbout GrabGrab is the leading superapp platform in Southeast Asia, providing everyday services that matter to consumers. Today, the Grab app has been downloaded onto millions of mobile devices, giving users access to over 9 million drivers, merchants, and agents. Grab offers a wide range of on-demand services in the region, including mobility, food, package and grocery delivery services, mobile payments, and financial services across 428 cities in eight countries.Life at GrabAt Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles – the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.Grab’s mission is to “Drive economic growth by building a platform that helps people discover, engage, and connect with the best businesses in Southeast Asia.”Job DescriptionGet to know our TeamWe focus on humanizing big data, being a bridge between the technical and operational side of business and using data in order to align with strategic goals. If you like a good challenge and love to find new ways of interpreting data then you’re a perfect fit. In the Product Analytics org, you will work on all kinds of problems from discovery to experimentation to using insights for influencing product direction.Transaction Platform plays a vital role in facilitating the seamless processing of multi-sided marketplace transactions, a critical function encompassing Grab’s core vertical businesses (e.g. Transport, Food, Mart, Express, Ads, etc.). It is designed to achieve two pivotal objectives integral to Grab’s mission: For Businesses: Empower every business in SEA to be able to efficiently and reliably manage their transactions, encompassing orders and payments, within the Grab ecosystem. For Grab: Help verticals in innovating and implementing multi-sided transaction workflow and payments with minimal tech investmentYour role is to guide a data-first approach to product thinking, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new and innovative product and business ideas! You will help developers, designers & product managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.Get to know the RoleYou will be working closely with various teams within a business line (Product, Business, Engineering, Design and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.QualificationsThe Day-to-Day ActivitiesUnderstand business objectives and deepdive into existing data to recommend new product ideas to solve for the most impactful customer problemsUse data to identify trends, spot anomalies and delve deeper into their root causesUse your number-crunching and slide-maker skills to use and present data beyond just numbers. Hone your data storytelling skills through visualization techniques by building dashboards and presenting insights to a non-technical audience!Discuss and align with stakeholders on key product metrics, design and propose experimentation strategiesLaunch A/B tests, analyze experiment results and provide recommendationsDesign and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collectionDevelop and maintain data pipelines to fulfill product reporting requirementsMentor junior team members, supporting their professional development in both hard and soft skillsIdentify frequently occurring hypotheses and problem statements that can be generalized into common patterns. Develop scalable analytical frameworks and solutions to allow for solving repetitive problems in a more efficient mannerRole-model high standards of rigor in how we do measurements, experimentation, analyses and recommendations. Safeguard the integrity of how data is used and understood to ensure we maintain objectivity in our reasoning, actions and decision makingEvaluate the feasibility of developing new products, participate in user researches to validate customer problemsCandidate Must-Haves6+ years of experience working in data-related and/or quantitative fields, including but not limited to Analytics and Applied Data ScienceFluent with SQL, Python or other scripting/programming languages to problem-solve. Experienced working with very large datasetsStrong data visualization and storytelling skills. Experience in creating dashboards using PowerBI / Superset / Tableau or other visualization toolsExposure to data pipeline creation and data engineering tools such as Airflow, Presto, Databricks etcEffective communication and collaboration skills and the ability to present complex subjects coherently to diverse audiences comprising generalists and specialistsSelf-motivator and an ability to learn independentlyAbility to deliver on tight timelines and move quickly with cross-functional teams to partner or lead decision making while maintaining high attention to detailA culture role model of our 4Hs: Honour, Humility, Hunger and HeartExperience with designing, conducting and analyzing controlled A/B experimentsCandidate Nice-to-HavesRelevant industry experience (preferably in an Internet or ‘Direct to Consumer’ company with high velocity data and scaled controlled experiments) and/or prior experience with Product Management or business-facing operations will be a plusPrior experience with supervised (eg : predictive modeling – regressions/classifications) and unsupervised (eg : clustering, segmentation) ML algorithmsAdditional InformationOur CommitmentWe recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.
Expected salary:
Location: Jakarta
Job date: Wed, 07 Aug 2024 23:20:31 GMT
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