Lead Data Scientist Deliveries ACE
Lead Data Scientist Deliveries ACE
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1 Vacancy
Job Description
Get to know the Team
In the ACE (Deliveries Mart Omnicommerce) Data Science team you are at the core and center of Grabs delivery and omnicommerce business. We build and deploy AI/ML models to empower seamless user experiences across Grabs food ecosystem from meal deliveries to restaurant reservations. Our mission is to enhance user satisfaction drive growth and optimize platform efficiency by leveraging data science to solve unique challenges in delivery demand forecasting and personalized dining experiences.
Get to know the role
We are looking for Lead data scientists who will own their projects endtoend from defining the problem space proposing scalable DS solutions implementing DS services and to conducting experiments and model enhancement. You will work closely with cross functional stakeholders including Engineering analytics Product etc independently to deliver advanced datadriven solutions.
The Critical Tasks You Will Perform
- Extract Insights: Analyze massive datasets (geospatial behavioral transactional) to understand user shopping patterns improve user experiences for delivery and dineout/Reserve services.
- Identify business opportunity and propose AI solutions to solve user problem and create business impact:
- User Experience: Predicting users shopping needs & shopping patterns shopping preference cancellation probability and etc. Identify ways to improve our user experience by providing them most personalised recommendations improving service reliability etc
- Demand Forecasting: Predict meal delivery demand spikes and restaurant reservation trends.
- Demand Shaping: optimise visibility to ensure we are shaping demand to meet supply to optimise the network throughput and reduce unfulfilled demand
- Demand generation: enable smart targeting of different user segments for demand generation
- Build Iterate and Deploy: Build AI models to enable business. Continuously refine models through A/B testing and production monitoring.
- Collaborate CrossFunctionally: Partner with product managers engineers analytics design and operations teams to scale solutions.
- Contribute to teams innovation and IP creation
Qualifications :
What Essential Skills You Will Need
Masters Degree or Ph.D. graduate with at least 5 years of experience in Machine Learning Statistics Applied Mathematics Computer Science Economics Operations Research or a related field
Extensive proven experience as a Data Scientist preferably within the food delivery booking or ecommerce industries.
Deep understanding of machine learning deep learning data mining algorithmic foundations of optimization. Experience with machine learning framework (Tensorflow pytorch etc)
Proficient in one or more of the following programming languages: Python Scala.
Selfmotivated independent learner and willing to share knowledge with team members
Excellent interpersonal and communication skills to foster collaboration with team members and effectively articulate insights to stakeholders.
Ability to thrive in a dynamic fastpaced work environment managing multiple priorities simultaneously.
Additional Information :
Life at Grab
We care about your wellbeing at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through LoveallServeall (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
