Data Science Engineer

Responsibilities  :

• Design and develop AI / ML algorithms for ad decisioning, bid auctioning, ad creative optimization, forecasting, and data classification in Digital Advertising.
• Identify valuable data sources and automate data engineering and ETL processes from ad serving events.
• Develop strategies for data preparation, including structured and unstructured data.
• Perform feature engineering and analyse large amounts of data from ad serving event logs to identify trends, patterns, and anomalies in bidding and ad decisioning.
• Ensure data privacy and security while conducting data analysis and modelling.
• Conduct experiments to validate hypotheses and test new algorithms.
• Build Minimum Viable Products (MVPs) using a proof-of-concept approach, focusing on scalability, speed, and accuracy.
• Build and maintain predictive models, dashboards, and automated reports to monitor performance and support decision-making.
• Collaborate with cross-functional teams, such as product, engineering, and sales, to ensure seamless integration of algorithms with other systems and processes.
• Stay up to date with the latest industry developments, advancements, and technologies in prediction and classification.
• Understanding and implementing diverse strategic ML / AI algos as per industry best practises and creating high impact, high value training models.
• Communicate results and recommendations to stakeholders, including non-technical audiences, using data visualization techniques.

Required Skills :

Skills Required

Python, Sql