
Lead - Data Science
Key Responsibilities:
- Opportunity to setup data science practice with fastest growing stock exchange
- Identify and collect relevant data from various sources, including structured and unstructured data using big data technologies
- Clean, pre-process, and transform data to ensure its quality and usability.
- Create feature store to drive data insights and analytics use case
- Develop anomaly detection algorithm, time series data analysis, clustering algorithms, or classification models to solve business problems and make accurate predictions.
- Experimentation with generative AI use case
- Visualize data, model outputs, and analytical results using charts, graphs, and dashboards.
- Explore and evaluate new tools, frameworks, and approaches to enhance data science capabilities.
- Evaluate and validate models using appropriate metrics and techniques for surveillance use case
Qualifications & Skill sets:
- Bachelor's or master's degree in mathematics, Statistics, Data Science, Computer science/engineering or related field
- 5 to 6 years' experience in data science, analytics, AI/ML and model deployment end to end.
- Experience in financial services or stock market domain is plus
- Leading team of 2 junior team member
- Proven record in delivering business outcome through data driven insights and analytics/data science
- Proficiency in Python, Pyspark, SQL, data engineering, time series data analysis
- Sound knowledge of Generative AI
- Excellent communication skills, problem solving and curiosity mind set to drive business outcome
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