Data Scientist

Los Angeles, California

Motion Recruitment
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Join a thriving financial powerhouse based in Santa Monica, CA, as a full-time Data Scientist and be a part of a dynamic and growing analytics team. This investment firm, founded in 2006, manages a diverse portfolio through private equity, credit, and other strategic vehicles. You'll be working onsite 5 days a week in a collaborative environment, surrounded by top-tier professionals and cutting-edge financial data technology.

This is a golden opportunity for a rising data scientist to gain early-career experience in a high-performance investment environment. The biggest draw? You'll be learning the ropes of financial analytics from a team that values curiosity, precision, and initiative. This company is actively investing in early-career talent, looking for someone who's hungry to grow, absorb industry insight, and bring a fresh perspective to the data science team. Expect mentorship, rapid upskilling, and exposure to the full spectrum of private equity data operations.

Required Skills & Experience
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
  • Proficiency in Python or R
  • Strong understanding of statistical modeling and machine learning fundamentals
Desired Skills & Experience
  • Experience or academic background in finance or economics
  • Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI)
  • Excellent communication skills
What You Will Be Doing

Tech Breakdown
  • 70% Python-based data analysis and modeling
  • 30% SQL and dashboard creation
Daily Responsibilities
  • 80% Hands-On
  • 10% Management Duties (light mentorship/support for interns)
  • 10% Team Collaboration
The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted by: Rachel Ruzumna

Specialization :
  • Machine Learning/Data Science
Date Posted: 28 April 2025
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