About the job
Our client, a leading Financial Services firm based in Doha, Qatar are looking to hire a Data Scientist which will be the first role of this kind within it's Data Operations & AI department. The role has been created to leverage statistical analysis and machine learning techniques to develop data-driven solutions, support data platform design, and execute priority data use cases that provide actionable insights to the business.
Responsibilities
Apply data mining techniques, conduct statistical analysis, and use scripting skills to experiment with data and explore wide range of datasets searching for insights and helping business unlock value through data
Develop ML algos and build high-quality prediction systems integrated with internal systems and products
Design, build, test and maintain new data platform in collaboration with data engineers, data modelers, data architects, cloud engineers and business stakeholders
Engage in the entire lifecycle of data analysis, including data collection, cleaning, exploration, modeling, productionalizing ML algos. Monitoring BAU workloads and interpretation of results
Develop sophisticated analytical and predictive frameworks to support business decisions and strategic initiatives
Key Skills/Experience required
Bachelors degree in STEM, preferably Data Science, Statistics, Mathematics, Computer Science, Finance or a related field
Deep understanding of machine learning, data mining, statistical modeling, and predictive analysis
Experience in Python and SQL (DDL, DML)
Hands-on experience working with Snowflake and using SnowPark for Python workloads
Knowledge of Jupyter Notebook, Jupyter Hub/Lab
Knowledge of ingesting data from common RDBMS (Oracle, MS SQL Server) and cloud DWH’s
5+ years of professional experience in a data science role with a strong portfolio of projects demonstrating expertise in Machine Learning & advanced analytics
Please note - relocation to Doha, Qatar and working full time from there is required.
Seniority Level: Specialist-Level
Job Functions: Data Science & Analytics
Industries : Information Technology
