Applied Data Scientist

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.