Applied Data Scientist
Location:Silicon Valley (Onsite) Experience:3-5 years Visa Sponsorship:No
What youll 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.
Applied Data Scientist Location:Silicon Valley (Onsite) Experience:3-5 years Visa Sponsorship:No What youll 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 measur...
Applied Data Scientist
Location:Silicon Valley (Onsite) Experience:3-5 years Visa Sponsorship:No
What youll 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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