Data Scientist Manager (NLP & GenAI) - Consumer Insights
New
K
Kratos GrowthConsumer Intelligence
Remote, New York, Country code: US, Regular working-hours overlap across US, Europe, and India time zones.Full-TimeManager
Salary not disclosed
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Job Details
- Experience
- 8+ years of hands-on data science or machine learning; 3+ years managing data scientists.
- Required Skills
- PythonSQLMachine LearningAzureDatabricksNLPPrompt EngineeringGenerative AIPySpark
Requirements
- 8+ years of hands-on experience in data science or machine learning with a focus on NLP and unstructured text.
- 3+ years of experience managing data scientists, including hiring, coaching, and performance development.
- Deep domain expertise in consumer insights, ideally within CPG or FMCG sectors.
- Expert-level proficiency in Python and SQL; strong command of PySpark.
- Proven track record of deploying and scaling multilingual NLP models (sentiment, emotion, entity recognition, topic modeling).
- 2+ years of experience building with LLMs in production, including RAG, prompt engineering, fine-tuning, and evaluation.
- Strong statistical foundations including experiment design, validation, and managing sampling bias.
- Excellent communication skills for translating complex model behaviors to business stakeholders.
- Degree in Computer Science, Statistics, Mathematics, Econometrics, or a related quantitative field.
- Ability to maintain regular working-hours overlap across US, European, and Indian time zones.
Responsibilities
- Manage and mentor a data science team focused on multilingual NLP, machine learning, and GenAI models.
- Define the data science roadmap in collaboration with Product and Data Engineering stakeholders.
- Improve the accuracy, precision, and evaluation frameworks for core multilingual models.
- Architect and implement production-ready models using frontier LLMs and open-weight models, optimizing for latency and cost.
- Build advanced predictive models for trend analysis and adapt products for new industries.
- Define metrics and analysis playbooks to measure product success.
- Act as a consumer insights expert, presenting methodologies to enterprise clients.
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