Applied Data Scientist

• Own the full funnel of applied machine learning work, from idea through production
• Build, improve, and deploy recommendation models that support Nift's core business goals
• Tackle deep learning problems in a production setting
• Conduct exploratory data analysis, preprocessing, feature development, and modeling
• Run experiments and evaluate success against business KPIs, not just model metrics
• Partner with engineering and infrastructure teammates to productionize models and scale systems
• Improve recommendation quality, personalization, and the business performance tied to those systems

• 5+ years of experience in production data science environments
• Strong hands-on experience taking machine learning models into production
• Strong deep learning experience; proficiency with PyTorch or TensorFlow is expected
• Direct experience with recommendation systems, or adjacent experience in areas like bidding or dynamic pricing
• Strong Python and SQL skills
• Experience working with data at meaningful scale — high-scale environments are a strong plus
• Ability to measure model success through business outcomes such as revenue, conversion, churn, or similar KPIs