About the Role
A well-established company that is developing an intuitive financial trading platform while leveraging modern technologies, is looking for a Data Scientist. The selected candidate will be responsible for ensuring effective data storage, processing, and retrieval, design and maintenance of the Azure Data Lake architecture. The company’s innovative platform is enabling investors, traders, and other customers to efficiently grow their finances. This is an amazing opportunity for candidates who are eager to test their skills while working in a demanding environment.
Job Responsibilities
- Leverage data to provide insights on how our marketing, ops and engagement strategies should function in the short, medium and long term
- Analyze data and build ML models to understand behaviors of existing and potential customers
- Use data to identify untapped areas of growth and provide guidance on how to optimize both the product and the engagement/marketing strategies to capture this growth
- Build models from POC to production-ready
- Build customer-facing reporting tools to provide insights and metrics which track business performance.
- Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
- Document business understanding of data and clean data from various entities for later use.
- Cross-validating models to ensure their generalizability.
Job Requirements
- At least 8-10+ years of relevant experience as a Data Scientist
- Proficiency in programming languages such as SQL and Python for data manipulation, analysis and model building
- Familiarity with big data frameworks like Spark
- Experience in data mining, data cleaning, predictive modelling using machine learning on cloud platforms.
- Experience in building, fine-tuning and monitoring descriptive/predictive/prescriptive models using various modelling techniques and methodologies such regression, random forest, neural networks etc.
- Experience of delivering models (or POC’s) using Generative AI technology will be preferred.
- Proficiency in using data visualization packages including Matplotlib, Seaborn to create clear and effective data visualization
- Experience working on Azure and Databricks platform will be preferred
- Understanding of NLP techniques for text analysis, sentiment analysis and language modelling
- Understanding of time-series forecasting techniques like ARIMA
- Experience in Power BI is preferred
- Knowledge of MLOps is preferred
- Background in the financial industry
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)