Описание

This role involves architecting intelligence to optimize 200M+ daily decisions, working within adjoe's Data Science team to engineer the fundamental decision engine that powers their platform. The team operates at a scale of 770 million users and 100,000+ predictions per second, solving a multi-objective optimization problem.

Responsibilities

Analyze and evaluate the performance of machine learning models using user-level and aggregated data, identify inefficiencies and failure patterns, and turn findings into actionable recommendations for Data Science teams
Investigate how ML models perform in the real world and compare model assumptions and predictions with actual user and business behavior
Identify gaps between offline model performance and online outcomes and help the team close them
Define and improve metrics for measuring ML model performance and business impact, working closely with Data Scientists and Product Managers to ensure optimization for the right outcomes
Design, prepare and analyze A/B tests and other experiments to measure the impact of new models, features and algorithmic changes
Assess statistical significance, experiment quality and practical business impact
Build dashboards and automated reports that make ML model performance, experiments and key business metrics transparent and easy to understand for technical and non-technical stakeholders
Act as a bridge between Data Science, Product and Business teams, translating business questions into analytical problems and turning complex ML insights into clear recommendations and decisions
Challenge product and technical decisions with data, bringing an independent analytical perspective to model development, experimentation and product strategy
Document analyses, methodologies and findings and build reusable analytical approaches that can be applied across models and experiments

Requirements

Degree in mathematics, statistics, physics, computer science, economics, analytics, or a similar quantitative field
2+ years of relevant experience in Data Analytics, Product Analytics, Experimentation, Data Science or a similar role
Strong analytical mindset and enjoyment in digging into data to understand why something happens, not just what happened
Proficiency in SQL and comfort working with large datasets
Strong Python skills and comfort using them for data analysis and statistical modelling
Solid understanding of statistics and experimentation, including hypothesis testing, confidence intervals, statistical significance and A/B test analysis
Understanding of machine learning concepts and model evaluation and comfort working with Data Scientists
Experience working with model and business metrics, and ability to connect technical model performance to real-world business outcomes
Excellent data visualization skills and experience building dashboards using tools such as QuickSight, Power BI, Tableau, Streamlit or similar
Comfort communicating complex analytical findings to both technical and non-technical audiences

Nice to have

Experience in AdTech, mobile apps or ML-driven products

We offer

Regular feedback and a development program to support growth, skill expansion and career goals
Relocation assistance for Germany, including visa support and a relocation bonus for settling in Hamburg
Hybrid work setup with 3 core office days and flexible working hours
30 vacation days
3 weeks of remote work per year
Free access to an in-house gym with fitness classes
Mental health support through an Employee Assistance Program (EAP)
Central office with Alster lake view, top-notch equipment, fun open spaces, and a large variety of snacks and drinks
Participation in regular team and company events, including hackathons and social gatherings

Hiring process

Mention "I found this job at Remocate!" when applying