Sr. AI Data Scientist

Daley And Associates, LLC

Boston (MA)

Hybrid

USD 160,000 - 190,000

Full time

39 hours ago
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Job summary

Daley and Associates is seeking a Senior AI Data Scientist to join a leading financial services firm. This hands-on contributor will work across the full development lifecycle, from identifying use cases to deployment, in a hybrid onsite setting in Massachusetts.

The role emphasizes building AI/ML solutions, NLP/LLMs, and advanced retrieval techniques, with strong Python/SQL skills and an emphasis on responsible AI and data quality.

Qualifications

  • 4+ years in data science, ML, AI, or related technical field.
  • 2+ years hands-on NLP/LLMs or information retrieval.
  • Experience building and deploying AI/ML solutions beyond prototypes.
  • Strong Python and SQL skills.
  • Experience with modern AI technologies such as RAG, embeddings, vector search, knowledge-based systems, or AI agents.
  • Authorized to work in the U.S. without sponsorship.

Responsibilities

  • Design and deploy AI and ML solutions for complex business challenges.
  • Build applications leveraging LLMs, NLP, intelligent retrieval, semantic search, and AI automation.
  • Develop methods for evaluating accuracy, reliability, and effectiveness of AI solutions.
  • Partner with business and technical stakeholders to identify high-value AI use cases.
  • Transform complex and unstructured data into useful information, tools, and insights.
  • Maintain strong standards around testing, data quality, documentation, and responsible AI.
  • Evaluate new AI technologies and their potential business applications.

Skills

Python
SQL
NLP
LLMs
Vector search
RAG
Information retrieval
Data analysis
Communication
Problem solving
ML fundamentals
Unstructured data

Education

Bachelor’s degree or higher

Tools

Cloud AI platforms

Job description

Daley and Associates is currently seeking a Senior AI Data Scientistwith a leading financial services firmto develop AI solutions that improve how teams analyze information, automate workflows, and make data-driven decisions.

This is a hands-on individual contributor position with involvement across the full development lifecycle, from identifying use cases and prototyping through deployment and ongoing improvement.

This role is a hybrid position onsite 3 days per week and will pay a base salary range of $160-190K.

Responsibilities
  • Design and deploy AI and machine-learning solutions for complex business and data challenges.
  • Build applications leveraging LLMs, NLP, intelligent retrieval, semantic search, and AI automation.
  • Develop methods for evaluating the accuracy, reliability, and effectiveness of AI solutions.
  • Partner with business and technical stakeholders to identify and implement high-value AI use cases.
  • Transform complex and unstructured data into useful information, tools, and insights.
  • Maintain strong standards around testing, data quality, documentation, and responsible AI.
  • Evaluate new AI technologies and their potential business applications.
Required Qualifications
  • 4+ years of experience in Data Science, Machine Learning, AI, Software Engineering, or a related technical field.
  • 2+ years of hands-on experience with NLP, LLMs, information retrieval, or applied AI.
  • Experience building and deploying AI/ML solutions beyond the prototype stage.
  • Strong Python and SQL skills.
  • Experience with modern AI technologies such as RAG, embeddings, vector search, knowledge-based systems, or AI agents.
  • Strong understanding of machine learning fundamentals and AI evaluation.
  • Experience working with complex or unstructured datasets.
  • Strong communication and problem-solving skills.
  • Bachelor’s or advanced degree in a quantitative or technical discipline.
  • Must be authorized to work in the U.S. without sponsorship.
  • Must be located in Massachusetts or willing to relocate for a hybrid schedule.
Preferred Qualifications
  • Experience with cloud AI platforms, large-scale data processing, scientific or technical datasets, and production data pipelines is preferred.
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