Senior Data Scientist (Analytics) - Ads
Petaling Jaya, Malaysia
Grab
Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.Company Description
Life at Grab
At 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.
Job Description
Get to know the team
We focus on humanizing big data, bridging the technical and operational sides of the business, and using data to align product development with strategic goals. If you like a good challenge and love to find new ways of interpreting data then you’re a perfect fit.
The Demand & Ads Team supports Grab’s mission to “Drive economic growth by building a platform that helps people discover, engage, and connect with the best businesses in Southeast Asia.” by building best-in-class marketing offerings for businesses in SEA
The Product Analytics team advances product innovation with analytics and experimentation best practices. We help ship a large number of features every week and that means instrumentation to track relevant events, running experiments evaluating changes weekly.
Get to know the role
We are looking for a Senior Data Scientist (Analytics) - Ads with great analytical and communication skills to help product teams be more data-driven and objective and guide the design of controlled experiments. This person will have the ability to thrive in ambiguity, should have proven experience in analytics and in managing multiple stakeholders, and should have a passion for solving problems.
You will work with engineers, designers, and 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.
This role is required because of the rapid pace at which Grab is building a robust marketing ecosystem and we believe the only way to do this effectively is by making fast data-driven decisions. While being able to influence key product decisions with your analytical rigor, you will also get an opportunity to learn what it takes and experience first-hand building great products.
The Day-to-Day Activities
Understand business objectives and deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
Use data to identify trends, spot anomalies and delve deeper into their root causes
Use your number-crunching and slide-maker skills to use and present data beyond just numbers. Hone your data storytelling skills through visualisation 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 strategies
Launch A/B tests, analyze experiment results and provide recommendations
Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection
Develop and maintain data pipelines to fulfill product reporting requirements
Mentor junior team members, supporting their professional development in both hard and soft skills
Identify frequently occurring hypotheses and problem statements that can be generalised into common patterns. Develop scalable analytical frameworks and solutions to allow for solving repetitive problems in a more efficient manner
Role-model high standards of rigour 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 making
Evaluate the feasibility of developing new products, participate in user researches to validate customer problems
Qualifications
The Must-Haves
At least 4+ years of experience working in data-related and/or quantitative fields, including but not limited to Analytics and Applied Data Science
Fluent with SQL, Python, R or other scripting/programming languages to problem-solve. Experienced with working with very large datasets
Strong data visualization and storytelling skills. Experience in creating dashboards using Tableau or other visualization tools. Knowledge of Azure toolstack (Databricks, PowerBI, Azure Data Explorer) will be a plus
Effective communication and collaboration skills and the ability to present complex subjects coherently to diverse audiences comprising generalists and specialists
Self-motivator and an ability to learn independently
Ability to deliver on tight timelines and move quickly with cross-functional teams to partner or lead decision making while maintaining high attention to detail
A culture role model of our 4Hs: Honour, Humility, Hunger and Heart
Additional Information
Our Commitment
We 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Azure Big Data Databricks Data pipelines Data visualization Engineering Pipelines Power BI Python R SQL Tableau
Perks/benefits: Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Junior Data Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open BI Analyst jobs
- Open Business Intelligence Engineer jobs
- Open Sr. Data Scientist jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Software Engineer, Machine Learning jobs
- Open Lead Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Marketing Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Data Analyst II jobs
- Open Product Data Analyst jobs
- Open Data management-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open Data visualization-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open Consulting-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Docker-related jobs
- Open Hadoop-related jobs