Data Scientist

Los Angeles, California

Motion Recruitment
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Join a rapidly growing investment firm based in beautiful Santa Monica, CA, known for its dynamic and high-performing culture. This full-time, onsite opportunity is perfect for someone looking to jumpstart their data science career in a cutting-edge financial environment. You'll work with Python and SQL to build solutions that directly impact business decisions in private equity, credit, and other investment strategies.

This is a rare opportunity to break into the world of finance and data science at the same time. The firm is looking for an early-career Data Scientist (0-3 years of experience) who's passionate about using data to tell stories and solve problems. You'll work alongside a talented and driven team in a collaborative setting that offers mentorship, learning, and exposure to the inner workings of high-stakes investing. If you're eager to grow quickly, love working with data, and want your work to make a real impact, this is the place to be.

Required Skills & Experience

• Bachelor's degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, or related)

• 0-3 years of professional experience as a Data Scientist or similar role

• Strong proficiency in Python

• Proficiency in SQL

Desired Skills & Experience

• Experience with financial or investment-related datasets

• Exposure to machine learning libraries (e.g., scikit-learn, pandas, NumPy)

• Strong communication and data storytelling skills

• Ability to work in a fast-paced, team-oriented environment

What You Will Be Doing

Tech Breakdown

• 60% Python

• 40% SQL

Daily Responsibilities

• 80% Hands-On Data Analysis and Modeling

• 10% Data Strategy and Planning

• 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: 05 May 2025
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