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Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist | Central Analytics (Marketing Measurement & Insights): Evaluating Performance Marketing through experimentation, modelling, and business analysis with an accent on incrementality testing, marketing mix modelling, and causal analysis. Focus on explaining ROI prediction gaps, connecting player behaviour and revenue to investment decisions, and translating evidence into repeatable decision frameworks.
Company
hirify.global is a mobile interactive entertainment company known for games including the Candy Crush franchise and part of Microsoft.
What you will do
Translate analytical findings into recommendations for marketing investment, campaign optimisation, and performance expectations.
Design and analyse incrementality tests and contribute to marketing mix modelling and other causal analyses.
Own defined analytical projects from business question through analysis, interpretation, validation, and stakeholder readout.
Investigate why ROI is over- or under-predicted by analysing player value, campaign mix, measurement assumptions, and business performance.
Turn experiment and model outputs into calibration inputs, benchmarks, and repeatable analytical tools for planning and optimisation.
Work with marketing stakeholders and technical partners to define actionable questions, data requirements, and correct interpretation of measurement outputs.
Requirements
Degree in Statistics, Economics, Data Science, Mathematics, Computer Science, or a related quantitative field, or equivalent practical experience.
Hands-on experience in data science, analytics, experimentation, or marketing measurement, including tahirify.global an analytical question through to a useful business recommendation.
Solid understanding of statistical modelling, hypothesis testing, experimentation, and the distinction between correlation and causation.
Ability to independently deliver well-scoped analytical work, validate results, manage priorities, and work through ambiguity.
Commercial curiosity and the ability to connect analytical results to investment choices, expected returns, and practical actions.
Proficiency in Python or R and SQL, with experience worhirify.global with complex datasets and producing clear, reproducible analyses.
Ability to explain complex findings clearly, make evidence-supported recommendations, and communicate uncertainty accessibly.
Careful judgement regarding assumptions, data quality, and methodological limitations, with readiness to learn and take on broader ownership.
Nice to have
Experience with media buying teams, growth marketing, or other commercial stakeholders.
Familiarity with MMM, GeoLift, holdout testing, synthetic controls, or other causal inference methods.
Experience analysing ROI, lifetime value, forecast accuracy, or drivers of commercial performance.
Understanding of advertising measurement challenges, including attribution bias, selection effects, organic cannibalisation, and platform limitations.
Exposure to measuring brand or traditional marketing alongside digital Performance Marketing.
Experience turning analysis into repeatable tools or processes for planning, forecasting, or optimisation.
Familiarity with BigQuery, Looker, or similar data and analytics platforms.
Passion for gaming and curiosity about how player behaviour translates into long-term business value.
Culture & Benefits
Work in an interactive entertainment company with more than 20 years of mobile gaming experience.
Collaborate with buying teams, analysts, marketing stakeholders, and technical partners.
Join a company whose games reach around 200 million players each month.
Work within the hirify.global organisation, part of Microsoft.
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