Data Scientist II

About the role

Location: 2416 E 6th St., Austin, TX 78702. Hybrid work schedule available. Full-time, regular hire. No supervisory responsibilities. Travel required: quarterly trips to San Antonio, TX.

Responsibilities

• Design, develop, and implement machine learning and artificial intelligence solutions to support business objectives in the retail domain.
• Build end-to-end data and model pipelines integrating multiple data sources and systems.
• Develop, test, and optimize machine learning algorithms and distributed processing workflows using sound mathematical and statistical methods.
• Evaluate and adapt open-source and proprietary algorithms to meet business and technical requirements.
• Analyze and communicate model results and analytical findings to business and cross-functional stakeholders.
• Collaborate with technical and business teams to align AI/ML solutions with operational and financial goals.
• Improve model and pipeline performance using scalable computing tools and frameworks.
• Apply knowledge across AI domains, including deep learning, computer vision, natural language processing, generative AI, reinforcement learning, and federated learning.
• Support the ongoing enhancement of enterprise machine learning and artificial intelligence capabilities.

Qualifications

• Bachelor's degree in Economics or similar quantitative field.
• 3 years of experience in retail data science.
• Expertise in advanced machine learning and artificial intelligence applied in the retail domain.
• Demonstrated experience designing novel machine learning solutions, including multi-modal and distributed systems.
• Demonstrated experience with large-scale data engineering and end-to-end production machine learning pipelines.
• Knowledge of financial planning and omnichannel retail applications of machine learning and artificial intelligence.
• Demonstrated experience developing and advancing enterprise machine learning roadmaps and scalable artificial intelligence capabilities.