Data Scientist

We analyze large-scale web data to deliver searchable insights. Our models power information extraction, anomaly detection, semantic search, and trend forecasting. We’re hiring a Data Scientist to push the next wave of ML features. You Will Build and ship ML models: NLP (NER, classification, relation extraction, topic modeling, embeddings), anomaly detection, regression/classification. Work with LLMs (RAG, lightweight fine-tuning/LoRA), evaluations, and guardrails. Run experiments and A/B tests; define metrics and perform statistical validation. Productionize with MLflow/W&B, feature pipelines, and model serving (batch/REST). Partner with Data Engineering and Product on problem framing and metrics. Must-have 3+ years as a Data Scientist/ML Engineer. Strong Python (pandas/polars, scikit-learn) and solid statistics/experimentation. Experience with PyTorch/Transformers and NLP. Comfortable with messy web data: cleaning, deduplication, normalization, labeling. SQL and work on cloud data warehouses (BigQuery/Snowflake/Redshift). End-to-end ML lifecycle (from exploration to deployment/monitoring). Good command of English and a challenger mindset. Nice-to-have RAG/LLM-Ops (LangChain/LlamaIndex), vector search (FAISS/pgvector/Pinecone). Time-series, causal inference, or graph ML. Feature stores (Feast), DVC/data versioning. Airflow/Dagster, dbt; AWS/GCP; Docker/Kubernetes. We Offer Big influence on the ML roadmap and measurable product outcomes. Flexible, outcome-driven environment with quick decisions. ESOP, learning/conference budget, modern hardware, team offsites. Apply: Send your CV/LinkedIn (+ 1–2 project links/notebooks) to hello@banachastreet.com with subject “Data Scientist – Your Name”.