Data Scientist (Advertising Analytics)

TL;DR

Data Scientist (Advertising Analytics): Developing statistical and machine learning models for media measurement and data solutions with an accent on data analysis and model validation. Focus on identifying trends in large datasets and enhancing existing predictive models for market research.

Location: Remote (United Kingdom)

Company

hirify.global is a pioneer in research technology (ResTech) providing a programmatic marketplace for global research and business strategies.

What you will do

• Contribute to the discovery and development of products and models relating to media measurement.
• Develop, validate, and maintain statistical and machine learning models.
• Analyze large datasets to identify patterns and insights, ensuring data reliability.
• Handle ad hoc client-specific requests, including data manipulation and producing summary results.
• Collaborate with cross-functional product and engineering teams to reach project goals.
• Communicate technical insights and recommendations through visualizations and presentations.

Requirements

• Master’s degree in Statistics, Quantitative Sciences, Data Science, Operations Research, or a similar quantitative field.
• 2+ years of experience in data science and analytics, ideally in market research or advertising analytics.
• Proficiency in Python for statistical analysis and implementing Machine Learning models.
• Strong knowledge of core statistical concepts, including hypothesis testing, regression, and sampling theory.
• Practical experience with various ML methods such as clustering and tree-based models.
• Must be based in the United Kingdom

Nice to have

• Experience in media measurement and digital attribution.
• Expertise in multivariate testing and online survey methodologies.
• Ability to write and optimize SQL queries.
• Experience working with big data technologies such as Spark.

Culture & Benefits

• Recognized as one of Newsweek's 2025 Global Top 100 Most Loved Workplaces®.
• Collaborative, global environment that values diverse perspectives.
• Culture of innovation, insatiable curiosity, and professional accountability.
• Commitment to diversity, equity, and inclusion.
• Remote-first work arrangement.