Data Scientist

Responsibilities:

• Build statistical and machine learning models to analyse large (PB-scale) volume of customer data, uncovering valuable insights and patterns.
• Design A/B tests and causal inference to measure the impact of different strategies on user behaviour and business outcomes.
• Implement robust MLOps pipelines to automate the deployment, monitoring, and maintenance of models in production environments.
• Collaborate with data team to scale infrastructure for future initiatives.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.
• Stay updated with the latest advancements in AI and Generative AI technologies.

Requirements:

• Bachelor's degree or higher in quantitative field (Statistics, Applied Mathematics, Computer Science etc).
• 2 to 5+ years of working experience in Data Science, machine learning and deep learning related roles.
• Proficient in processing large-scale datasets using Big Data technologies like Hadoop, Spark and Hive.
• Proven track record of deploying Machine Learning and deep learning models (TensorFlow / PyTorch) into production environment.
• Proven ability to execute A/B testing strategies and identifying best practices, with a commitment to mentoring others and adopting emerging technologies.

Preferred skills:

• Prior experience developing recommendation systems in ecommerce, Web3 or similar high growth environment is highly valued.
• Knowledge and affinity of GenAI libraries and toolsets such as HuggingFace, LangChain, RAGAS, etc is a plus