Quantitative Analyst
7 days ago
This position involves leveraging quantitative analysis, data mining, and machine learning to build models that guide product strategy and priorities. The successful candidate will work closely with cross-functional teams to drive data-driven decision-making and ensure impactful, data-informed decisions.
Responsibilities:
- Solve Complex Problems: Analyze and interpret customer behavior to drive product adoption and improve user engagement.
- Apply Advanced Analytics: Leverage quantitative analysis, data mining, and machine learning to build models that guide product strategy and priorities.
- Build Machine Learning Pipelines: Design and implement ML pipelines that enable data-driven decision-making.
Requirements:
- Educational Background: MS or PhD in a quantitative field such as Mathematics, Statistics, or Computer Science.
- Experience: 5+ years of experience in designing and deploying machine learning solutions.
- ML Expertise: Proficiency in Large Language Models (e.g., RAG, Generative AI) and Natural Language Processing (NLP).
NearSource Technologies is committed to fostering a diverse and inclusive workplace.
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