Senior Data Scientist
Summary
Build ML models and A/B tests on PB-scale data to drive business decisions, deploy models via MLOps, and communicate insights to stakeholders.
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).
- 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
