End-to-End Data Scientist: ML & LLMs in Production

Millennium

New York (NY)

On-site

USD 165,000 - 250,000

Full time

2 days ago
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Benefits offered by this job

Performance bonus
Comprehensive benefits package

Job summary

Millennium in New York is seeking an experienced Data Scientist to transform messy data into actionable models and decision tools. You will own projects end-to-end, from scoping to deployment and monitoring, while collaborating with engineering and business development teams.

The role emphasizes strong Python skills and hands-on work with large language models, plus a collaborative, reliable teammate who communicates clearly and shares knowledge.

Qualifications

  • Bachelor's degree in CS/Data Science/Statistics or related field.
  • 3+ years of hands-on data science with at least one production project.
  • Strong Python experience (Pandas, NumPy, Matplotlib, Scikit-learn).
  • Experience with LLMs and modern NLP approaches is a plus.

Responsibilities

  • Own projects end-to-end from scoping to deployment and monitoring.
  • Build and deploy ML models, including LLM-enabled solutions when appropriate.
  • Wrangle data, implement quality checks, and write maintainable Python/SQL.
  • Collaborate with engineering and business stakeholders to translate questions into analysis.
  • Deploy to production via APIs or batch jobs and establish feedback loops.
  • Drive improvements to data, tooling, and processes to reduce manual work.

Skills

Python
Machine Learning
Data Visualization
Collaboration

Education

Bachelor's degree in Computer Science, Data Science, Statistics, or related field

Tools

Plotly
Dash
Streamlit

Job description

Millennium in New York is seeking an experienced Data Scientist to transform messy data into actionable models and decision tools. You will own projects end-to-end, from scoping to deployment and monitoring, while collaborating with engineering and business development teams.

The role emphasizes strong Python skills and hands-on work with large language models, plus a collaborative, reliable teammate who communicates clearly and shares knowledge.

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