Senior Data Scientist

2 weeks ago

Los Angeles, United States SideRamp Full time
Job DescriptionJob Description

About SideRamp

This role is for a client of SideRamp's. SideRamp allows professionals to engage with the gig economy, offering a centralized agency that manages high-quality, flexible side gigs. We focus on connecting you to various freelance and part-time work—from discovering opportunities to streamlining the application process. Our team is designed to connect you to not just any gig, but with the right side gig that matches your career goals and lifestyle needs.

Your Role

Are you passionate about uncovering insights from data and driving business decisions through analytics? Join our client's dynamic team as a Senior Data Scientist and work on cutting-edge projects that will make a real impact This role will be upon demand when insights are required. The client is looking for someone based out of the United States.

What You'll Do

  1. Lead the development and implementation of advanced machine learning algorithms

  2. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions

  3. Design and analyze experiments to test hypotheses and optimize models

  4. Present findings to stakeholders in a clear and compelling manner

  5. Stay current with the latest trends in data science and contribute to the continuous improvement of our processes

What We're Looking For

  1. 5+ years of experience in data science or a related field

  2. Expertise in machine learning, statistical analysis, and data visualization

  3. Proficiency in programming languages such as Python, R, or SQL

  4. Strong communication and presentation skills

  5. Ability to thrive in a fast-paced and collaborative environment

  6. A passion for problem-solving and a drive to make an impact

Notes: Job descriptions may have been edited from their original format to protect the identity of our clients and to ensure fair hiring standards along with consistent formats across all postings. Salary information is not guaranteed and its estimates are based on a yearly, full-time salary. This system can make mistakes. 

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