Senior Data Scientist (Mcm)

TL;DR

Senior Data Scientist (MCM): Optimizing marketplace platform performance through deep-dive data analysis and actionable insights, partnering with cross-functional stakeholders to onboard and scale platforms. Focus on translating complex data into strategic recommendations, influencing product roadmaps, and driving high-impact platform launches.

Location: London, England, United Kingdom

Company

hirify.global builds AI advertising solutions, democratizing access to advanced AI for businesses to grow and compete in the digital economy.

What you will do

• Optimize platform performance by conducting deep-dive analyses using large-scale data to understand platform performance, advertiser outcomes, and marketplace dynamics.
• Define success frameworks to evaluate and quantify platform performance, identifying new opportunities for platform growth.
• Influence MCM’s product and engineering roadmap by proactively defining feature priorities based on deep-dive analyses.
• Present complex insights to executive audiences, simplifying intricate data science concepts for non-technical stakeholders.
• Drive high-impact platform launches, leading cross-functional efforts with Sales and Customer Engineering to ensure seamless marketplace launches.
• Uphold data science excellence by applying best practices in analysis, modeling, and experimentation.

Requirements

• 4+ years of industry experience in data science, analytics, or a related field (or an advanced degree with 2+ years of high-impact industry experience).
• Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Mathematics, etc.).
• Demonstrated ability to drive product strategy using data to define feature roadmaps and influence long-term business goals.
• Strong proficiency in Python and SQL, with experience analyzing large‑scale datasets.
• Solid foundation in statistics, including experimental design, hypothesis testing, and various statistical analysis techniques such as regression.
• Excellent communication skills with experience presenting technical findings to non-technical leadership or external partners.

Nice to have

• Experience in ad‑tech, marketplace, or e-commerce environments (specifically bidding, ranking, or auction logic).
• Experience evaluating machine learning models in production, including experimentation and ongoing performance monitoring.
• Prior experience in a client-facing or consultative data science role, supporting external partners through data-driven insights.
• Experience working with geographically distributed teams and stakeholders.

Culture & Benefits

• Innovative benefits that empower employees to take care of themselves and their families.
• Lead with humility, where everyone’s voice is respected, valued, and heard.
• Uncapped growth mindset, seeing all situations as opportunities to learn, grow, and improve.
• Create real value by pursuing the most impactful opportunities with rigor and integrity.
• Go further together as one team working towards one mission and vision.