Senior Applied AI & Data Scientist – Enterprise GenAI & RAG

Knights of Columbus

New Haven (CT)

On-site

USD 122,000 - 207,500

Full time

14 days+

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Benefits offered by this job

13 paid holidays
401(k) with matching contributions
Flexible workweek schedules
Professional development reimbursement
Health and wellness benefits

Job summary

Knights of Columbus in New Haven is looking for a Senior Applied AI & Data Scientist. This professional will design, build, and deploy AI-powered solutions to achieve measurable business outcomes in Life Insurance, Investments, and Charities.

The ideal candidate has strong expertise in Python, SQL, Snowflake, and experience with machine learning solutions. The position offers a salary range of $122,000 to $207,500, with excellent benefits including paid leave, 401(k), and health insurance options.

Qualifications

  • 6+ years delivering advanced analytics and machine learning solutions.
  • 2+ years delivering GenAI/LLM solutions in an enterprise environment.

Responsibilities

  • Own end-to-end delivery of AI solutions.
  • Design and deliver LLM-enabled analytics.
  • Build agentic workflows to automate business processes.
  • Develop and deploy machine learning models.
  • Communicate insights to executives and technical teams.

Skills

Python
SQL
Machine Learning
Data Science Best Practices
Snowflake
PostgreSQL
Vector Search
Monitoring

Education

Master's degree in Data Science or related field

Tools

ML libraries (e.g., scikit-learn, XGBoost, PyTorch/TensorFlow)
MLflow
Docker

Job description

Knights of Columbus in New Haven is looking for a Senior Applied AI & Data Scientist. This professional will design, build, and deploy AI-powered solutions to achieve measurable business outcomes in Life Insurance, Investments, and Charities.

The ideal candidate has strong expertise in Python, SQL, Snowflake, and experience with machine learning solutions. The position offers a salary range of $122,000 to $207,500, with excellent benefits including paid leave, 401(k), and health insurance options.

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