Machine Learning Scientist II (AI)

TL;DR

Machine Learning Scientist II (AdTech): Designing, building, and deploying machine learning models to optimize bidding strategies and investment allocation across marketing channels with an accent on measuring elasticity and dynamic capital allocation. Focus on translating complex mathematical concepts into production-grade systems that adapt to market volatility and drive real-world actions.

Location: Must be based in the United Kingdom (London)

Company

hirify.global brands power 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 across marketing channels.
• Develop methodologies to measure elasticity to answer granular capital allocation questions.
• Write clean, efficient Python code and partner with Machine Learning Engineers to deploy models into production.
• 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 define objective functions for models.

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.
• Comfortable working with ambiguity and breaking down high-level goals into solvable mathematical problems.

Culture & Benefits

• Fosters an open culture where everyone belongs, differences are celebrated, and success is shared.
• Provides a full benefits package, including travel perks, generous time-off, and parental leave.
• Offers a flexible work model with career development resources.
• Recognized as a Best Place to Work on Glassdoor (2024) and for award-winning culture by Forbes, TIME, and Disability:IN.