Join our data science team in a pivotal role, leading the development of a unique B2B2C recommendation engine. Your skills in designing advanced algorithms and applying NLP and LLM techniques will be crucial in deriving insights from our extensive medical and demographic datasets. Collaborate closely with our cross-functional teams to integrate these insights into our systems, significantly enhancing user experience and informing business strategy. Your role will also involve effectively communicating complex analytical results to stakeholders at all levels, making a substantial impact in our dynamic environment.

This is the original:

• Be part of a data science team where you will lead end-to-end ML projects from data extraction through model validation to model deployment.
• Design and implement sophisticated recommendation algorithms to enhance user experience and engagement and utilize NLP and LLM techniques for efficient data extraction from diverse sources.
• Discover and translate business challenges into data pipelines and models.
• Extract business insights from growing medical and fimographic oriented dataset to support business validation and development.
• Work closely with management, and data engineering teams to integrate data collection, data quality, and core model output into production systems.
• Convey complex analysis results clearly and with conviction to stakeholders at all levels.
  
  

This is the original:

• Be part of a data science team where you will lead end-to-end ML projects from data extraction through model validation to model deployment.
• Design and implement sophisticated recommendation algorithms to enhance user experience and engagement and utilize NLP and LLM techniques for efficient data extraction from diverse sources.
• Discover and translate business challenges into data pipelines and models.
• Extract business insights from growing medical and fimographic oriented dataset to support business validation and development.
• Work closely with management, and data engineering teams to integrate data collection, data quality, and core model output into production systems.
• Convey complex analysis results clearly and with conviction to stakeholders at all levels.
  
  

Requirements:

• 5+ years of experience with data science projects from conception to production.
• Experience with building recommendation systems
• Broad knowledge of multidisciplinary data science modeling techniques and their use within the industry.
• Fluency in Python and hands-on experience with relevant packages
• Big Advantage: Experience with vector DB
• Big Advantage: Experience with working with LLMs commercially (for fine-tuning, or AI-driven generative pipelines), using langchain or similar
• Big Advantage: Data engineering experience