Data Scientist (Pricing)

Company Description

Grab is Southeast Asia's leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

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—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

Get to know the role

We are looking for a Data Scientist to join the team. We believe a successful candidate has solid understanding of machine learning, operation research and causal inference, tracking record of cleaning/processing data and building deep machine learning and/or optimisation models, experience working on deploying ML or Optimisation models in production systems, excellent soft skills to communicate with stakeholders.

In return, you will have the opportunity to work on big data to extract insights and establish solutions. You will develop deep learning, causal machine learning, reinforcement learning, optimization and/or control models to solve dynamic pricing problems inside Grab's marketplace and deploy them at scale.

The Day-to-Day Activities

• Build self-optimizing passenger pricing and driver earning products that can automatically adjust booking/order fares in response to the dynamic and ever-changing market conditions to achieve predetermined objectives.
• Develop precise, causally correct, and robust machine learning models to accurately predict consumer booking behavior and driver acceptance behavior. Build economic models to capture the impact of consuming pricing on network efficiency and long run business sustainability.
• Construct scalable optimization models to search for the optimal fare for each booking. This involves finding the price point that attracts sufficient consumer demand and maximizes the revenue.
• Establish pipelines to automate the model parameter tuning and model serving in a scalable way.
• Create technical documents outlining the methodologies and findings, and present solutions to business stakeholders in a clear, non-technical manner.
• Take charge of project management, collaborate closely with the technical teams to deploy the machine learning models in a production environment, ensuring their smooth integration into the system.
• Communicate and collaborate with country teams to implement and roll out the pricing strategies effectively. This involves coordinating efforts, addressing any concerns or challenges, and ensuring consistent execution across different markets.

Qualifications

The Must-Haves

• Bachelor or Master Degree in computer science, operation research, mathematics, statistics, economy, physics, software engineering or related fields
• 1+ years of experience in one or more of the following areas: generic machine learning, deep learning, reinforcement learning (control), causal inference, optimisation.
• Experience translating complex business problems into ML/AI formulations.
• Develop and improve data processing ETL pipelines to efficiently support data analysis, model training and model serving works
• Proficiency in Python, Tensorflow, sql, spark. Experience in writing efficient sql query and readable, maintainable and testable codes.
• Experience developing production quality pipelines to automate the model tuning and deployment.
• Excellent communication skills to manage the stakeholders.

The Nice-to-Haves

• Candidates with expertise in streaming data using frameworks like Apache Flink and Apache Spark will have an added advantage.
• Experience with distributed systems and cloud services such as AWS, GCP, and Azure is highly valued.
• Candidates who have made contributions to open source projects will be awarded bonus points during the evaluation process.
• The ability to autonomously explore new ideas and learn new skills to accomplish tasks is a crucial attribute we seek in potential candidates.

Additional Information

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

• Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
• Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
• Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
• Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
• Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
• Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.

We've got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more.

What we stand for at Grab:

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It's not a box-ticking exercise; it's who we are.