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As a Research Analyst, you'll collaborate with experts to develop advance machine learning or large language model (ML/LLM) solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML/LLM models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML/LLM models.
Key job responsibilities
• Collaborate and propose best in class ML/LLM solutions for business requirements
• Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap
• Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques
• Coordinate design efforts between Sciences and Software teams to deliver optimized solutions
• Communicate technical concepts to stakeholders at all levels
• Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments
• Familiar with ML/LLM models and able to work independently.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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