
Lead Data Scientist
2 days ago
At Grab, we're on a mission to drive growth and enhance the on-demand industry through innovative data-driven solutions.
This role is crucial in implementing cutting-edge machine learning systems to improve user engagement, merchant operations, and driver strategies.
Job Description- We are seeking an experienced Lead Data Scientist to join our team of talented professionals. You will be responsible for developing and deploying scalable machine learning models, ensuring they can handle large datasets while adapting to changing business requirements.
- You'll lead AI initiatives to enhance internal productivity, streamline workflows, and automate tasks within the User & Market Insights team.
- Collaborate with cross-functional teams to convert business challenges into machine learning solutions that drive growth and inform strategic decisions.
- At least 7 years of experience in large-scale Machine Learning systems and at least 3 years in a senior or lead data scientist role.
- Proficiency in machine learning frameworks (TensorFlow/PyTorch) to implement and optimize predictive models and neural networks for ML tasks.
- Experience designing and deploying fine-tuned LLMs to leverage large language models for tailored applications in enterprise scenarios.
- Big data processing expertise in Spark (or equivalent frameworks).
- Statistical knowledge in causal inference or advanced methods.
- End-to-end project management abilities from data collection to model deployment, including stakeholder alignment to bridge expectations with technical deliverables.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A dynamic and supportive work environment.
We are committed to building an inclusive and equitable workplace that provides equal opportunity for employees to grow and perform at their best.
We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
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