Data Scientist

At Compass Digital, our mission is to create extraordinary experiences at the intersection of hospitality and technology. Compass Digital is seeking an experienced and highly skilled Data Scientist to join our team and lead the development of cutting-edge AI/ML solutions to help our partners make smarter business decisions. The successful candidate will:

Now, if you were to come onboard as our Data Scientist, we’d ask you to do the following for us:

• Lead the design and implementation of end-to-end ML pipelines for the development of a state-of-the-art supplier analytics platform
• Collaborate with cross-functional teams to identify business needs and develop innovative data-driven solutions that drive measurable impact.
• Conduct comprehensive analysis to extract actionable insights and provide strategic recommendations for business optimization and growth.
• Design and implement robust data infrastructure, following governance practices around data integrity and security.
• Mentor and provide guidance to data scientists, fostering a collaborative environment for knowledge sharing and skill development.
• Stay updated with industry trends, emerging technologies, and best practices in machine learning, AI, LLMs, and data science.

Think you have what it takes to be our Data Scientist? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:

• 5 years of hands-on experience in building and deploying machine learning and AI pipelines in a commercial environment.
• Experience with cloud-based data platforms (AWS, GCP preferred) and related services (Airflow, Sagemaker, Vertex AI).
• Proficiency with Python libraries like TensorFlow, PyTorch, scikit-learn.
• Advanced to expert knowledge of SQL.
• Proven track record of delivering successful data-driven solutions that have driven tangible business outcomes.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
• Experience with clustering algorithms and recommender systems.
• Knowledge of software engineering practices and version control systems.
• Master's or Ph.D. in STEM or related field.
• Experience leveraging LLMs to build or improve data models and pipelines.