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As a member of our Data Science Engineering team, the Sr. Machine Learning Engineer, AdTech will focus on optimizing real-time bidding strategies and auction mechanics to efficiently spend ad budgets and deliver against campaign targets.
Job Responsibility:
Analyzing and optimizing real-time bidding strategies and online auction mechanics
Developing new or improving existing models of event predictions
New feature engineering for multiple machine learning models: User embeddings and clustering
fraud detection, etc.
Cross-device user identification, cookieless mechanisms development
Mining different data sources
Supporting existing codebase for data integration and production support for our core models.
Requirements:
5 years minimum of experience in machine learning/data science
Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R
Advanced knowledge of Python using standard DS packages (numpy/pandas/scikit, etc.)
Being able to optimize and speed-up code.
3+ years of RTB Auction or similar online technologies.
Algorithms and Data Structures (e.g., sorting, search tree, binary heap, trie
time & mem complexities of algorithms)
Probability and Statistics (e.g., hypothesis testing
Markov process and its stationary distributions, stochastic matrix and its properties
Bayesian inference)
ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 regularisation, Decision trees and their ensembles, collaborative filtering, Thompson sampling / MCMC, Neural Networks, etc.)