Software Engineering - Lead Data Scientist

[…] (NYSE: […] ) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The my […] (Scores B2C) engineering team is seeking a Lead Data Scientist to build and run machine learning and Generative AI solutions in our consumer applications. This lead-level software engineering role builds the data pipelines that prepare large datasets for modeling, develops ML models and puts them into production with monitoring and retraining, and measures business impact through experimentation. You will also set ML engineering best practices for the team.

• Build and maintain Python data pipelines that ingest, clean, and transform large datasets into reliable, analysis-ready data and ML features.
• Profile and validate data, and put quality checks in place so models and analyses can be trusted.
• Develop machine learning models, such as propensity, churn, segmentation, and forecasting, from problem framing through evaluation.
• Deploy models to production in AWS for batch and real-time scoring, monitor performance and drift, and automate retraining.
• Design, evaluate, and improve LLM prompts, and integrate Generative AI capabilities into existing applications.
• Design and analyze A/B tests to measure business impact, and explain results to product and marketing partners.
• Lead design discussions and code reviews, mentor engineers and