Hiring: Data Scientist Company: Millennium Location: New York, NY Job Posted Time: 2026-09-10 11:40:56 Target Skills & Keywords : AWS, Azure, LLM, Matplotlib, NLP, NumPy, Pandas, Plotly, Python, RAG, SQL, scikit-learn About the job Experience: •3+ years of hands-on experience in data science, analytics, or ML, with at least one end-to-end project shipped to production used by real stakeholders. Required Skills: •Own outcomes: break projects into milestones, estimate realistically, meet deadlines, and surface risks early with options. •Build and deploy models: develop ML models (including LLM-enabled solutions when appropriate), design features, evaluate rigorously, and contribute to production-grade pipelines. •Work the full data lifecycle: wrangle and clean data, implement data quality checks, write maintainable Python/SQL, add tests, and document decisions. •Collaborate cross-functionally: translate business questions into analysis, present trade-offs clearly, and iterate with stakeholders and tech partners. •Deploy to production: partner with data engineers to ship to production (APIs, batch jobs, monitoring) and create feedback loops for continuous improvement. •Drive system improvements: propose pragmatic improvements to data, tooling, and process that reduce manual work and increase reliability. •3+ years of hands-on experience in data science, analytics, or ML, with at least one end-to-end project shipped to production used by real stakeholders. •Strong Python proficiency (Pandas, NumPy, Matplotlib, and Scikit-learn). Qualifications: •Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Compensation: •$165,000 - $250,000 / year •Competitive benefits and rewards package •Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!