Applied Data Scientist / Machine Learning Engineer (Decision Intelligence)

Overview

Ever wonder what happens when machine learning actually leaves the Jupyter notebook and starts making a real difference in people's daily work? At WorkWave, we are asking that exact question every single day. We are hunting for a product-minded Applied Data Scientist or Machine Learning Engineer who loves building decision intelligence tools that customers actually want to use. This is a fully remote, worldwide opportunity meaning you can do your best work from wherever you feel most inspired. If you get genuinely excited about taking AI projects from a blank whiteboard all the way to production, keep reading because this might just be your dream job.

Key Responsibilities

• Own the entire machine learning lifecycle from initial problem definition to deployment and long-term product iteration.
• Design bulletproof data and feature pipelines that feed high-performing predictive models.
• Build forecasting, recommendation, ranking, and optimization capabilities that power our core SaaS products.
• Collaborate closely with product managers and software engineers to ensure models are scalable, explainable, and valuable.
• Measure model performance continuously in the wild and iterate rapidly based on real-world user feedback.

Requirements

• Proven track record of taking machine learning models from experimentation to live production environments.
• Strong background bridging applied data science with robust data engineering or MLOps practices.
• A heavy bias toward shipping practical solutions rather than chasing purely academic research metrics.
• Deep understanding of how to build AI systems that directly improve business decisions and user experiences.
• Exceptional communication skills and comfort working asynchronously in a globally distributed remote team.

What You'll Gain

• The freedom to work from literally anywhere in the world on a truly remote schedule.
• Direct ownership over cutting edge decision intelligence products used by countless businesses.
• A collaborative culture that values practical execution over endless bureaucracy and theoretical debates.
• Generous compensation packages and growth opportunities as our AI footprint expands.

How to Apply

Click the apply button below to view the full job details and submit your application directly through the employer's official page.