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Mid-level ML role, metro location, and generalist requirements make candidate competition high.
Requires adtech-specific data science experience, limiting transferability across industries.
Mandatory 3+ years plus adtech experience and specific ML/tool requirements increase shortlisting strictness.
Design and develop AI/ML algorithms for digital advertising tasks including ad decisioning, bid auctioning, and creative optimization.
Automate data engineering and ETL processes from ad serving events, perform feature engineering, and analyze large datasets to identify trends and anomalies.
Build MVPs, predictive models, dashboards, and automated reports to monitor performance and collaborate with cross-functional teams for system integration.
3+ years of proven experience as a Data Scientist.
Experience applying data science techniques specifically in the field of Digital Advertising.
Proficiency with machine learning libraries (TensorFlow, PyTorch, scikit-learn, XGBoost) and programming languages such as Python, R, Julia, SQL, or Apache Spark.
Bachelor's or Master's degree in Computer Science, AI, ML, Statistics, Operations Research, or a related field.
Experienced in strategic ML/AI algorithm implementation aligned with industry best practices in digital advertising.
Skilled in handling both structured and unstructured data for high-impact training models and real-time data processing.
Able to communicate complex results effectively to technical and non-technical stakeholders and collaborate across product, engineering, and sales teams.