Data Scientist
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Salary: Up to $130,000 base + Bonus + Benefits
Location:
Houston, TX (On-site 4 days per week)
My client is a modern, technology-led investment management firm leveraging advanced data science and machine learning to drive smarter decisions across global financial markets. They’re looking for a Data Scientist at junior–mid level who’s excited by real-world data, complex systems, and the chance to see models directly influence trading and investment strategies.
You’ll be joining a collaborative team of data scientists, engineers, and quantitative analysts working at the intersection of finance, technology, and analytics
. This is a hands-on role with exposure to live market data, large datasets, and decision-making systems that operate at scale.
From exploratory analysis through to production-ready models, you’ll play a meaningful role in shaping how data is used across the firm — with visibility, ownership, and room to grow.
This is an on-site-first environment designed for collaboration, mentorship, and fast learning, with flexibility built in where it counts.
Requirements:
- 1-4 years of hands-on experience in data analysis, EDA, and machine learning
- Solid understanding of ML and statistical techniques (regression, classification, clustering, time series, model evaluation)
- Strong Python skills and experience working with real-world datasets
- Exposure to (or an interest in) finance/ financial data is a strong plus
- Degree in Data Science, Computer Science, Engineering, Mathematics, or similar
Perks that make it different:
- Extremely Competitive bonus tied to firm and individual performance
- Direct exposure to investment and trading decision-making
- Modern tech stack with real production ownership
- Structured learning budget for courses, conferences, and certifications
- Clear progression path into senior data science or quantitative roles
- High-impact work — your models won’t sit on a shelf
If you’re looking to build serious data science experience inside a fast-moving investment environment, this is a standout opportunity.
Interviews are already underway — apply now to be considered.
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