Direct message the job poster from M Science

Colin Orr

Lead Recruiter at M Science

Job Description:

We are looking for a Data Scientist that will help us utilize the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying the latest NLP techniques using large language models (LLMs), doing statistical analysis, and work closely with software engineering team to integrate AI/ML techniques with our products. Being part of a small team, this person will be a major player in shaping the future of data science ML / AI within the firm, and opportunities to grow and influence the growth of the company are tremendous.

Responsibilities:

• Leverage your skills in NLP, large language models and statistics to create services providing AI solutions to both internal and external parties
• Processing, cleansing, and verifying the integrity of data used for analysis and the model
• Maintain ML models, vector databases and RAG pipelines
• Compare & evaluate different LLM models and techniques
• Stay up to date with state-of-art techniques in LLM, generative AI space and continuously test them
• Partner with software engineers to develop backend of LLM based products and services

Skills and Qualifications:

• 3+ years of work experience in data science/analysis and coding (Python/R/SQL)
• Demonstrated prior experience in NLP, large language models, and/or generative AI
• Solid applied statistics skills, such as distributions, statistical testing, regression, etc.
• Excellent understanding of theories behind NLP and large language models
• Excellent programming skills in Python
• Curiosity and a voracious appetite to learn
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
• Experience in any of LLM model blending, fine-turning, RLHF pipeline, RAG pipeline, use of vector databases and developing LLM agent is a plus
• Experience in building data pipelines and analysis using PySpark is a plus

Job Details:

Seniority level

• Associate

Employment type

• Full-time

Job function

• Engineering and Finance

Industries

• Financial Services and Market Research