Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, coupled with over 3 years of industry machine learning experience and excellent software engineering skills. Familiarity with digital marketing concepts and metrics is essential, with prior experience in Marketing Mix Modeling (MMM), predicted Lifetime Value (LTV), incremental Lift estimation, geo lift tests, and causal inference being a significant advantage. Expertise in various machine learning and statistical techniques, including tree-based models, deep learning, and A/B testing, is required. Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, XGBoost, and Scikit-Learn are necessary, as is hands-on experience with SQL and data manipulation tools. Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI, along with strong analytical, communication, and collaboration skills, are also crucial. A passion for continuous learning in machine learning trends is expected.
The Machine Learning Engineer will design, build, A/B test, and maintain machine learning and statistical models to optimize audience, channel, campaign, creative, and customer journey, thereby improving ROI for user acquisition and lifecycle marketing. This role involves continuously optimizing the quality of machine learning models for Marketing Mix Modeling (MMM), predicted Lifetime Value (LTV), incremental Lift estimation, and causal inference. Responsibilities include analyzing large datasets to extract actionable insights and inform marketing decisions, collaborating with teams in the US and India, and clearly communicating findings and recommendations to stakeholders. The engineer will champion scientific rigor in data-driven decision-making and stay updated with the latest advancements in machine learning, statistical techniques, and marketing analytics to identify new business opportunities.
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