Machine Learning Scientist II (AI)

TL;DR

Machine Learning Scientist II (AI): Designing, building, and deploying machine learning models to optimize bidding strategies and investment allocation across diverse marketing channels with an accent on understanding the relationship between marketing cost and incremental financial returns. Focus on developing production-grade models, building feedback loops, control mechanisms, and designing A/B experiments to validate performance and inform strategic decisions.

Location: United Kingdom - London

Company

hirify.global powers global travel for everyone, everywhere, designing cutting-edge tech and groundbreaking solutions for partners.

What you will do

• Design and implement machine learning models to optimize bidding strategies and investment allocation.
• Develop methodologies to measure elasticity to answer granular capital allocation questions.
• Write clean, efficient, and reproducible Python code and partner with ML Engineers for deployment.
• Contribute to the development of feedback loops and control mechanisms for bidding systems.
• Design and analyze A/B experiments to validate model performance and inform strategic decisions.
• Translate mathematical concepts into clear insights for business partners and frame business problems into analytical tasks.

Requirements

• Bachelor or Master’s degree in a quantitative field (Computer Science, Statistics, Mathematics, etc.) or equivalent practical experience.
• 2+ years of professional experience applying Machine Learning to real-world business problems.
• Strong Python proficiency in writing production-quality code and using libraries like pandas, scikit-learn, numpy.
• Advanced SQL ability to write complex queries to handle large-scale datasets.
• Solid understanding of regression (GLMs), optimization techniques, time-series forecasting, and probability theory.
• A strong interest in AdTech, Bidding Markets, Game Theory, or Control Systems.

Culture & Benefits

• Open culture where everyone belongs and differences are celebrated.
• Full benefits package, including exciting travel perks.
• Generous time-off and parental leave.
• Flexible work model with offices.
• Career development resources to fuel passion for travel.
• Recognized as a Best Place to Work on Glassdoor in 2024.