Applied Data Scientist
Location: Silicon Valley (Onsite) | Experience: 3-5 years | Visa Sponsorship: No
What you'll do
· Build and maintain ML models for classification, extraction, trend detection, and
predictive scoring on large structured and unstructured datasets.
· Design experiments and benchmarks to measure model accuracy, reduce bias, and
validate outputs at scale.
· Apply NLP techniques — embeddings, NER, text classification — to real-world data
pipelines.
· Partner with engineering to move models from experimentation to production; own
monitoring and drift detection.
· Build evaluation frameworks for AI-generated outputs across multiple product use cases.
What we require
· BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field.
· 3-5 years of applied data science; minimum 2 years working with NLP or large-scale text
data in production.
· Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL.
· Demonstrated track record of shipping models into production, not just producing
analysis.
· Experience with embedding models and semantic similarity at enterprise scale.
· No visa sponsorship. Must be authorized to work in the US without current or future
employer sponsorship.
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