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Overnight Applied Data Analytics Jobs in California

They are seeking an Applied Data Scientist to build and maintain machine learning models, design ... producing analysis. • Experience with embedding models and semantic similarity at enterprise ...

They are seeking an Applied Data Scientist to build and maintain machine learning models, apply NLP ... producing analysis. • Experience with embedding models and semantic similarity at enterprise ...

... applied data science; minimum 2 years working with NLP or large-scale text data in production ... Demonstrated track record of shipping models into production, not just producing analysis.

... applied data science; minimum 2 years working with NLP or large-scale text data in production ... Demonstrated track record of shipping models into production, not just producing analysis.

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI integration and deployment tooling * Product prototyping and applied research

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI integration and deployment tooling * Product prototyping and applied research

Applied Research - Evals & Data

New York, NY · On-site

$125K - $150K/yr

Integrate applied data collection and analytics into the post-training process to surface regressions, emergent skills, and alignment opportunities. * Prototype multi-agent and memory-augmented ...

Minimum of 6+ years of professional experience in applied data science, advanced analytics, or machine learning, with a track record of driving end‑to‑end projects. * MS/PhD or equivalent ...

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Overnight Applied Data Analytics information

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Applied Data Scientist

Hop

San Francisco, CA • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Hop is a Series A-funded agentic AI company focused on building intelligence for workforce and market decisions. They are seeking an Applied Data Scientist to build and maintain machine learning models, design experiments, and apply NLP techniques to enhance their AI products.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
Hop is a platform that connects emerging AI, GenAI, and ML talent from Latin America with high-impact projects. Founded in 2016, the company is headquartered in Walnut Creek, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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About Hop

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

West Hollywood, CA, US

Year founded

2020