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”.

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