Senior Data Scientist (Python)
Core
Transform high-velocity datasets into predictive models and actionable systems that influence product strategy and business operations.
Role type
Senior IC data scientist (Python/ML)
Builds
Production-grade machine learning models, scalable data pipelines, and feature sets for live cloud environments.
Domain
Data Science / Machine Learning / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python (Pandas, NumPy, SciPy, Scikit-Learn), SQL, supervised/unsupervised learning, regression, classification, clustering, time-series forecasting, Docker, microservice design, PySpark, Ray, MLflow, DVC, Weights & Biases, AWS/GCP/Azure, SageMaker/Vertex AI
Preferred skills
PyTorch, TensorFlow/Keras, NLP (Hugging Face, spaCy), LangChain, vector databases, Apache Airflow, Prefect, A/B testing, experimental design
Technologies
Python, Pandas, NumPy, SciPy, Scikit-Learn, Docker, PySpark, Ray, MLflow, DVC, Weights & Biases, AWS, GCP, Azure, SageMaker, Vertex AI, PyTorch, TensorFlow, Keras, Hugging Face, spaCy, LangChain, Apache Airflow, Prefect
Responsibilities
Design, build, and optimize scalable predictive models and machine learning algorithms. Architect and maintain robust data pipelines and feature sets. Partner with Data Engineers, Product Managers, and Backend Teams to integrate ML models into core application APIs. Conduct rigorous peer code reviews for data science workflows. Translate technical metrics into clear business outcomes and executive-level recommendations.
Seniority
Senior, hands-on IC
