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.

• 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.

• 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 (Big Query/Snowflake/Redshift).
• End-to-end ML lifecycle (from exploration to deployment/monitoring).
• Good command of English and a challenger mindset.

• RAG/LLM-Ops (Lang Chain/Llama Index), 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.

• 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.