Data Scientist III

Responsibilities:

• Lead the design and deployment of ML models across campaign recommendation, budget allocation, and creative optimization.
• Develop robust pipelines for data preprocessing, feature engineering, model training, validation, and deployment.
• Build and fine-tune predictive models using supervised/unsupervised learning, deep learning, and reinforcement learning.
• Partner with product managers and engineers to translate business goals into ML problem statements.
• Own model performance monitoring, explainability, retraining schedules, and feedback loops for continuous learning.
• Collaborate with MLOps and platform teams for scalable deployment (batch + real-time).
• Contribute to experimentation frameworks, model versioning, and reproducibility.

Qualifications:

• 5-8 years of experience in Data Science/Machine Learning roles, preferably in AdTech, MarTech, or B2B SaaS.
• Strong foundations in statistics, optimization, time-series forecasting, and ML algorithms.
• Proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) and SQL.
• Hands-on experience with ML lifecycle tools (MLflow, Airflow, SageMaker, Vertex AI, etc.).
• Experience working with ad performance data, user behavior modeling, attribution models, or recommender systems.
• Bonus: Experience with causal inference, LTV modeling, or generative AI for text/image.