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About the Role

We are seeking a results-oriented Data Scientist to transform data into actionable insights and decision-making tools. You will manage projects from inception to completion, including scoping, deployment, and monitoring, while collaborating with engineering and business development teams.

Responsibilities

• Own project outcomes by breaking them into milestones, estimating realistically, meeting deadlines, and proactively identifying risks with solutions.
• Build and deploy machine learning models, including LLM-enabled solutions, design features, evaluate rigorously, and contribute to production pipelines.
• Manage the full data lifecycle, including data wrangling, cleaning, implementing data quality checks, writing maintainable Python/SQL, adding tests, and documenting decisions.
• Translate business questions into analyses, clearly present trade-offs, and iterate with stakeholders and technical partners.
• Partner with data engineers to deploy solutions to production (APIs, batch jobs, monitoring) and establish feedback loops for continuous improvement.
• Propose pragmatic improvements to data, tooling, and processes to reduce manual work and enhance reliability.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 3 years of hands-on experience in data science, analytics, or ML, including at least one end-to-end project shipped to production and utilized by stakeholders.
• Proficiency in Python, including Pandas, NumPy, Matplotlib, and Scikit-learn.
• Solid understanding of machine learning fundamentals such as problem framing, validation, metrics, overfitting, and feature engineering.
• Experience with SQL and NoSQL database structures, including relational, columnar, and document databases.
• Experience with LLMs and modern NLP techniques like prompt engineering, retrieval-augmented generation (RAG), vector databases, and knowledge graphs, with a pragmatic understanding of their limitations.
• Strong data visualization and storytelling skills using tools like Plotly, Dash, or Streamlit.
• Familiarity with cloud services (AWS/Azure) for data storage, compute, and deployment.

Skills

• Python
• Large Language Models (LLMs)
• Machine Learning (ML)
• Data Wrangling
• Data Cleaning
• Python/SQL
• Data Visualization
• Storytelling
• SQL
• NoSQL
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• Knowledge Graphs
• Cloud Services (AWS/Azure)

Location

• New York

Work Type

• Full-time

Experience Level

• 3+ years

Education Level

• Bachelor's degree

Salary/Compensations

• $165,000 to $250,000

Benefits

• Discretionary performance bonus
• Comprehensive benefits package

About the Company

• In Business Development at Millennium, we identify and onboard trading talent and data advantages that drive profitability.
• We evaluate data vendor solutions and surface novel data points that create early, differentiated signals ahead of competitors.
• Our work involves delivering reliable, established solutions and creatively extracting hidden insights from existing data and discovering new sources.