Data Scientist

Client:

Technology Driven Investment Management Firm

Up to $130,000 base + Bonus + Benefits

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 m 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.

• Performing exploratory analysis through to production-ready models
• Shaping how data is used across the firm with direct visibility and ownership
• Collaborating with engineers and quantitative analysts at the intersection of finance and tech
• Working with live market data and decision-making systems that operate at scale
• Contributing to the full lifecycle of data science projects

• 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

• 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