Senior Applied Scientist (AI/ML - Pricing) - Remote

Overview

The Senior Applied Scientist (AI/ML - Pricing) plays a crucial role in the development and deployment of innovative machine learning solutions for retail pricing that includes understanding various customer and operational business constraints and translating complex real-world problems into well-defined mathematical objectives.

In Short

• Research and develop machine learning and statistical models for pricing challenges.
• Analyze large datasets to derive insights for pricing strategies.
• Employ state-of-the-art Machine Learning methodologies.
• Maintain clean, efficient, and scalable code.
• Communicate ideas effectively to both technical and non-technical audiences.
• Collaborate with stakeholders on data-driven solutions.
• Contribute to intellectual property through patents and publications.
• Influence technical direction and own key components of systems.
• Mentor junior team members.

Requirements

• PhD or Masters in Computer Science, Machine Learning, or related field.
• 5+ years of industry experience in applied Machine Learning.
• Deep understanding of ML best practices and algorithms.
• Proficiency in Python scientific libraries and ML tools.
• Strong data engineering skills with large datasets.
• Experience with big data tools like Apache Beam and Spark.
• Experience with cloud technologies (AWS, GCP, Azure).
• Fluency in Python and SQL.

Benefits

• Opportunity to work in a fast-paced entrepreneurial setting.
• Collaborative work environment with multiple stakeholders.
• Potential for technical leadership and innovation.
• Mentorship opportunities within the team.