Data Scientist with Marketing Domain

Job Description

Technical Skills

• Machine Learning: SciPy, Scikit-learn, Pandas
• Technique: Hyperparameter Tuning, Imbalanced Data, Ensemble Learning, Boosting
• Algorithms: SVG, XGBoost, KNN, Clustering, Views, MassTer, Stata, etc.
• Natural Language Processing: LLM familiarity (BERT), Neural Networks (LSTM)
• Big Data Experience: Cloud Services (GCP, Microsoft Azure, AWS)
• Expert knowledge on Time Series Forecasting, Python Libraries
• 6+ years of experience in MMM, measurement, A/B testing, marketing strategy & analytics
• Proficient coding skills (Python/SQL) and database knowledge
• Experience with advertising technology platforms: Ad servers, DSPs, DMPs, etc.
• Proficient in SQL and Python Libraries (TensorFlow, Keras, PyTorch)

Domain Knowledge : Candidate needs to have extensive exposure and hands-on knowledge in Market Mix Modelling and should possess strong Marketing Domain Knowledge.