Senior Data Scientist

5+ years of experience as a data scientist or applied researcher, ideally in tech, fintech, or advertising. Strong statistical foundation with hands-on experience using scikit-learn, statsmodels, TensorFlow, or PyTorch. Proven ability to perform exploratory data analysis (EDA) and communicate findings clearly through notebooks and visualization. Experience using Vertex AI, SageMaker, or other ML lifecycle platforms for experimentation and model deployment. Fluency in SQL and Python data tooling (pandas, NumPy, Plotly, etc.). Deep curiosity about how data is created, transformed, and used to drive business outcomes. Pragmatic mindset — balancing research depth with real-world impact and iteration speed.

Perform deep exploratory analysis to assess project feasibility and uncover data quality or coverage issues. Build clear, reproducible Jupyter or Colab notebooks that communicate insights visually and narratively. Partner with product and engineering to understand data generation processes and identify gaps. Develop statistical and ML models (scikit-learn, statsmodels, TensorFlow, PyTorch) for pricing and bidding use cases. Prototype predictive models that can be scaled by the ML engineering team into production systems. Leverage Vertex AI or equivalent tools for experimentation, training, and deployment workflows. Create visualizations using Python (Plotly, Matplotlib, or Seaborn) to communicate key findings effectively. Contribute to a culture of analytical rigor, documentation, and rapid experimentation.