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Our team helps millions of people every day to find and compare products and prices across shops. The search team focuses on finding new ways and technologies to serve our customers with the most relevant results. You can be part of our team that’s continuously exploring and improving solutions for customer query understanding and product result ranking for the best match. You can expect purpose - providing people with a fair and unbiased service unlike any other B2C e-commerce company. Day to day, you would find freedom to work it your way - shaping the search with interesting challenges tackled together, in our team of seven amazing colleagues. The challenge awaits you - to serve >40 million customers with >2 billion offers in <100ms search response time. The position is available in full or part-time.
Job Responsibility:
Work as an interface between Product Management, Engineers and Analysts in a cross-functional team to improve idealo’s customer experience through data-driven decision making
Analyze large and complex datasets to uncover patterns, trends, and opportunities, always with a strong focus on business impact and customer value
Define and refine problem statements together with Product and stakeholders, translating business needs into clear analytical questions and hypotheses
Design, run and analyze experiments (e.g. A/B tests) to evaluate product changes and guide decision-making based on causal inference
Drive solution design and impact assessments collaboratively with the team, ensuring that insights lead to actionable outcomes
Build dashboards, define KPIs, and monitor performance to make success measurable and transparent
Proactively identify opportunities where data can unlock value, as well as gaps where additional data or tracking is needed
Requirements:
At least 5 years of professional experience as a Data Scientist (or similar role) with a track record of delivering measurable business impact
A degree (Ph.D., M.Sc. or equivalent) in a quantitative field such as Statistics, Mathematics or a related discipline
Strong experience in experimentation and A/B testing, including hypothesis design, statistical evaluation, and interpretation of causal effects
A product-oriented mindset and enjoy working closely with Product Managers and Engineers to solve real business problems
Enjoy independently and systematically digging into complex data and analytical tasks
Ability to set your own goals and produce quantitative results in a goal-oriented manner, which you can present in a comprehensible way
Proficient in SQL and Python (e.g. pandas, NumPy, scipy)
Can communicate findings through clear visualizations and storytelling
Strong analytical thinking and comfortable working with complex datasets to generate actionable insights
Nice to have:
Experience with query understanding, semantic search, and linguistic analysis