EX Squared is hiring a Senior Data Scientist (Europe, remote) - Sherpany

A premier talent acquisition platform is seeking a Senior Data Scientist in Europe for a transformative role driving strategic insights through advanced analytics. This opportunity empowers a professional to lead comprehensive data science initiatives across product and operational domains, converting intricate datasets into strategic recommendations. The ideal candidate will architect end-to-end data workflows, construct sophisticated machine learning pipelines, and collaborate with interdisciplinary teams to optimize business performance. Your responsibilities will encompass analyzing user dynamics, retention metrics, and lifecycle patterns, delivering data-driven strategies that directly influence organizational growth. The role demands advanced technical proficiency in statistical modeling, machine learning, and data engineering, complemented by exceptional communication capabilities for translating complex findings to diverse stakeholders. Success metrics include uncovering hidden patterns, enhancing user engagement, and driving meaningful product improvements. This is a fully remote position within Europe, offering flexible work arrangements while maintaining global team collaboration. Accountabilities: · Manage comprehensive data workflows encompassing extraction, transformation, modeling, and visualization supporting strategic decisions · Develop and maintain sophisticated machine learning models for retention, engagement, and product usage analytics · Collaborate with cross-functional teams to define analytical objectives, design experiments, and validate hypotheses · Execute advanced statistical analyses revealing significant user patterns and actionable insights · Convert data discoveries into concrete recommendations driving measurable business impact · Generate high-quality visualization tools communicating critical findings to stakeholders Requirements: · Advanced expertise in statistical modeling and machine learning methodologies · Robust programming capabilities in Python and SQL, with extensive library experience · Comprehensive understanding of data engineering principles and pipeline architecture · Proven expertise in retention analytics, user segmentation, and lifecycle modeling · Proficiency with advanced analytical platforms and visualization tools · Exceptional communication skills for translating technical insights · Demonstrated capacity for autonomous decision-making and strategic interpretation Benefits: · Competitive compensation aligned with industry standards · Complete remote work flexibility across European territories · Professional development opportunities in innovative technological environments · Access to cutting-edge data resources and technologies · Inclusive organizational culture emphasizing collaboration and innovation