Data Scientist Alternative (NY)
About The Position
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. 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, supporting 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, and ensuring continuous technology watch.
Requirements
- Master’s degree (ideally a Master’s in machine learning or data science) from engineering school or university equivalent.
- At least 2 years of expertise in the Python data science stack.
- Familiarity with cloud services, such as AWS.
- At least 2 years of expertise in machine learning, especially on time series, on a production environment.
- Experience with LLM-assisted coding, agentic AI, and prompt engineering, focused on developing robust, production-grade solutions for financial use cases.
- Versatile, autonomous, and rigorous, with a team player attitude and good communication skills.
- Keen to develop in an environment that handles large volumes of data.
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
