Senior Data and AI Scientist
Core
Design and build AI-powered solutions, machine learning models, and data-driven insights to enhance a B2B SaaS platform, focusing on customer experience, automation, and business outcomes.
Role type
Senior individual contributor machine learning scientist
Builds
Production-ready ML models, intelligent features, and scalable data pipelines for a B2B SaaS platform
Domain
B2B SaaS, Machine Learning, AI
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, feature engineering, model evaluation, A/B testing, MLOps, cloud platforms (GCP/AWS/Azure)
Preferred skills
NLP, representation learning, time-series forecasting, deep learning, graph ML, reinforcement learning, containerization, Kubernetes
Technologies
Python, SQL, Jupyter, Git, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, Pandas, NumPy, DBT, BigQuery, Snowflake, MLflow, Airflow, Kubeflow, Tecton, Feast, Docker, Vertex AI, SageMaker, Azure ML, Seaborn, Matplotlib, Plotly, Looker, Power BI, Tableau
Responsibilities
Design and develop machine learning and statistical models for product features; conduct data exploration, feature engineering, and preprocessing; analyze model performance and iterate based on experimentation; prototype and benchmark novel algorithms; generate actionable insights using advanced analytics; develop dashboards to track model health and business KPIs; collaborate with engineering teams to deploy models into production environments; develop reproducible training pipelines and notebooks.
Seniority
Senior, hands-on IC
