Senior Data Scientist (NLP & GenAI)
New
K
Kratos GrowthConsumer Intelligence
New York, Remote, New York, Country code: US, 4 hours overlap with US Eastern time zone desiredFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 2-4+ years in data science/machine learning roles
- Required Skills
- PythonSQLAzureDatabricksNLPPrompt EngineeringGenerative AI
Requirements
- 2-4+ years in data science/machine learning roles with production model development
- 1-2+ years focused primarily on NLP tasks (sentiment analysis, classification, topic modeling, or similar)
- 1+ years working with LLMs (prompt engineering, fine-tuning, or RAG implementations)
- Minimum 1 model deployed to production or demonstrably used to inform business decisions
- Python: 2-3+ years in production ML environments
- ML/NLP libraries: Proficiency with scikit-learn, Hugging Face Transformers, SpaCy, NLTK
- SQL: Intermediate level (JOINs, aggregations, window functions for datasets >1M rows)
- Version control: Git-based workflows
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field
Responsibilities
- Develop and deploy NLP models for sentiment analysis, emotion detection, and text classification processing 1M+ documents daily
- Design and implement LLM-based solutions using prompt engineering, RAG architectures, and fine-tuning approaches
- Build evaluation frameworks to measure model accuracy, establishing baselines and tracking improvements
- Collaborate with data engineers and AI engineers to productionize models via API endpoints and batch pipelines
- Work with multi-language text data
- Translate business requirements into technical model specifications
- Document model architectures, performance metrics, and usage guidelines for cross-functional teams
- Iterate on models based on client feedback and production performance data
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