Staff Data Scientist

We are seeking a skilled Staff Data Scientist to lead the analytics efforts behind our product development. In this role, you will take ownership of product analytics across the entire lifecycle, from gathering and analysing user behaviour data to creating actionable recommendations that drive product decisions. The ideal candidate will have a deep understanding of product analytics, user experience, and the ability to transform data into clear insights that influence product strategy and development. The mission of Data Scientists is to improve customer and business outcomes through better automated decision-making, using Machine Learning and Statistical Modeling. What you'll be doing: Create impactful insights and drive Continuous Product Improvement: Provide data-driven recommendations for feature prioritisation, product roadmap adjustments, and iterative product improvements based on insights from user data and experimentation results. User Behaviour Analysis: Analyse user behaviour data across multiple platforms to uncover trends, identify friction points, and recommend opportunities for product improvement and innovation. Product Experimentation & A/B Testing: Design, execute, and analyse A/B tests and other experimentation methodologies to evaluate product features and enhancements, delivering insights on user preferences and product optimisation. Cross-Functional Collaboration: Collaborate with product managers, designers, and engineers to define metrics, track product performance, and ensure that analytics efforts are aligned with strategic product goals. Product Metrics & KPIs: Define, track, and optimise product KPIs (such as user engagement, retention, conversion rates, etc.) to ensure that product improvements are measurable and aligned with business objectives. Data Visualisation & Reporting: Present findings through dashboards, reports, and presentations to both technical and non-technical stakeholders, translating complex data into clear, actionable insights for product teams. User Segmentation & Cohort Analysis: Conduct deep-dive analyses into user cohorts and segments to identify patterns in behaviour and tailor product strategies to different user groups. Data Quality & Integrity: Ensure the integrity and accuracy of product data, ensuring that insights are based on reliable and clean datasets. Scalable Analytics Solutions: Build and maintain scalable reporting systems and dashboards that track product performance in real time, ensuring accessibility for teams across the organisation. Documentation & Knowledge Sharing: Maintain clear documentation of product analytics methodologies, metrics, and insights, facilitating knowledge sharing across product and engineering teams. Drive Innovative Ideas: Propose novel solutions and use data story telling to inform product strategy. Shape product strategy and work with key stakeholders.

Algolia is a fast growing company that helps users deliver intuitive search and discovery experiences on their websites and mobile apps. We provide APIs used by thousands of customers in more than 100 countries. Today, Algolia powers 1.5 Trillion searches a year – that's 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined!