Data Scientist

Description

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.

Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.

About the Data Team

Riverside’s Data & Analytics team believes there’s a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If you’re passionate about finding radical new ways to leverage data, you’ll fit right in.

On your day to day

Riverside is seeking a talented and motivated Data Scientist to join our data group team. In this role, you will work with large datasets to uncover actionable insights, build predictive models, time series models, and generative AI solutions for analytics. As a Data Scientist at Riverside, you will have end-to-end (E2E) responsibility for ML models, from research and development to the deployment and monitoring, all aimed at driving business growth.

Your responsibilities will include:

• Build and deploy ML models, including classification, time series, anomaly detection, and more.
• Own end-to-end (E2E) projects from research to deployment and monitoring of ML models.
• Ensure data quality and model accuracy.
• Collaborate with cross-functional teams to design data-driven solutions.
• Optimize and maintain model performance and scalability.
• Stay current with advancements in data science and machine learning technologies.

What Will Make You Stand Out?

• Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
• At least 3 years of industry experience.
• Strong background in machine learning (ML).
• Experience with the productization of ML models.
• Proficiency in Python.
• Excellent verbal and written communication skills.
• Experience with generative AI is a plus.

Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.

Requirements