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