Data Scientist at Wynd Labs

At Richmond Circle Data, a subsidiary of Wynd Labs, we are dedicated to transforming the alternative data landscape. Our mission is to harness unconventional data sources to generate unique, actionable insights that empower businesses to make smarter decisions. We operate in a fast-paced, collaborative startup environment where innovation is the core of everything we do.

The role

We are looking for a Senior Data Scientist to join our team on a full-time, remote basis. This is a high-impact position designed for an experienced professional who is ready to take ownership of complex data challenges and help us scale our internal infrastructure.

Core responsibilities

• Interpret and analyze intricate time series data to develop practical solutions and insights.
• Build, deploy, and maintain robust machine learning models and algorithms.
• Work closely with cross-functional partners to identify data requirements and deliver high-quality results on time.

Skills and experience

To be successful in this role, you should have a strong technical foundation and a passion for solving difficult problems. We require the following qualifications:

• A degree in Data Science, Computer Science, Statistics, or a related field.
• At least 3 years of professional or research experience working with large datasets.
• Proficiency in Python or similar object-oriented programming languages.
• Advanced knowledge of statistics, such as regression analysis, hypothesis testing, and probability.
• Excellent communication skills and the ability to explain technical concepts to non-technical team members.
• A proven track record of thriving in high-output, fast-paced environments.

Bonus points if you have experience with time series forecasting, Large Language Models, or web scraping and data extraction.

Compensation and benefits

We offer a salary range of 80,000 USD to 150,000 USD, along with early-stage equity. Our benefits package includes:

• Fully remote work flexibility.
• Unlimited PTO.
• Significant opportunities for professional growth and career advancement.

How to apply

If you are interested in joining our team, please submit your application. Our hiring process is unique, as we prioritize a paid work trial rather than a traditional interview format to better understand how we can work together.