11 дней назад
Senior Data Analyst (Machine Learning)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Machine Learning): Analyzing and evaluating machine learning models, experiments, and business metrics for a large-scale rewarded advertising platform with an accent on statistical analysis, model evaluation, and real-world user behavior. Focus on designing A/B tests, identifying gaps between offline and online performance, building analytical dashboards, and translating complex ML insights into product decisions.
Location: Hamburg, Germany; hybrid setup with 3 core office days
Company
develops technologies for mobile app growth and monetization, including the Playtime Arcade rewarded advertising platform serving more than 770 million users annually.
What you will do
- Analyze machine learning model performance using user-level and aggregated data, identify failure patterns, and provide actionable recommendations.
- Compare offline model assumptions and predictions with real-world user and business outcomes.
- Define and improve model-performance and business-impact metrics with Data Science and Product teams.
- Design, prepare, and analyze A/B tests and other experiments, including statistical significance and practical business impact.
- Build dashboards and automated reports for model performance, experiments, and key business metrics.
- Translate analytical findings into recommendations, challenge decisions with data, and document reusable analytical methods.
Requirements
- Degree in mathematics, statistics, physics, computer science, economics, analytics, or a similar quantitative field.
- 5+ years of relevant experience in Data Analytics, Product Analytics, Experimentation, Data Science, or a similar role.
- Strong SQL skills and experience working with large datasets.
- Strong Python or R skills for data analysis and statistical modeling.
- Solid knowledge of statistics, hypothesis testing, confidence intervals, statistical significance, and A/B test analysis.
- Understanding of machine learning concepts, model evaluation, business metrics, and data visualization for technical and non-technical audiences.
Nice to have
- Experience in AdTech, mobile apps, or ML-driven products.
- Experience with QuickSight, Power BI, Tableau, R Shiny, Streamlit, or similar dashboarding tools.
Culture & Benefits
- Hybrid work with 3 core office days and flexible working hours.
- 30 vacation days and 3 weeks of remote work per year.
- Visa support and a relocation bonus for moving to Hamburg, including support with settling in and learning German.
- Regular feedback, a development program, team events, hackathons, and social gatherings.
- Central Hamburg office with an in-house gym, fitness classes, snacks, drinks, and Employee Assistance Program mental health support.
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