Data Scientist Alternative (NY)

Your Role

The Data Insights/Data Science Alternative team collaborates closely with Research to perform predictive statistical analyses and derive valuable insight over a wide variety of datasets.

Key Responsibilities

As an expert in data analysis and information extraction, you will be involved in every stage from the exploration to the production, including:

• Extracting actionable features from alternative data
• Designing robust, efficient, scalable, and monitored production pipelines
• Support Quantitative Researchers in their day-to-day activities
• Understanding business issues to identify new opportunities
• End-to-end ownership of the features and production build
• Ensuring continuous technology watch

Your Skills

You have a master’s degree (ideally a Master’s in machine learning or data science) from engineering school or university equivalent.

At Least a 2 years of expertise in the Python data science stack.

You are familiar with cloud services, such as AWS.

At least 2 years of expertise in machine learning, especially on time series, on a production environment

You bring experience with LLM-assisted coding, agentic AI, and prompt engineering, focused on developing robust, production-grade solutions for financial use cases.

You are versatile, autonomous, and rigorous, with a team player attitude and good communication skills.

You are keen to develop in an environment that handles large volumes of data.