• Leverage expertise in data science, machine learning, programming, advanced mathematics, simulation, and statistical modeling to uncover trends, generate actionable insights, and contribute to the development and optimization of product features — especially in areas involving advertising technologies and user privacy. • Develop and refine scalable predictive models and algorithms using a strategic, analytical mindset to maximize business impact from complex data environments. • Formulate hypotheses, conduct rigorous product experiments, and interpret data outcomes to drive evidence-based decisions. • Collaborate closely with engineering and product teams to turn data science prototypes into high-performing, customer-centric features, while considering privacy requirements and advertising compliance. • Deliver robust business intelligence and data visualization solutions, including support for real-time dashboards (e.g., online customer service), and respond to ad-hoc analytical needs from cross-functional teams. • Ensure data practices align with evolving data governance, privacy standards, and advertising measurement frameworks. Required Skills: • 8+ years of hands-on experience in data science, analytics, statistical modeling, and performance reporting. • Proficient in programming languages such as Python, SQL, or R, with experience using big data tools like Hadoop and visualization platforms such as Tableau or Power BI. • Strong written communication skills with the ability to translate complex analytical concepts into clear, engaging narratives. • Proven experience in stakeholder engagement and delivering data-driven insights to influence product and business decisions. • Background as a product or marketing analyst, with strong project prioritization based on business impact and KPIs. • Skilled in handling and analyzing large-scale datasets, particularly in ads performance, user targeting, conversion tracking, and privacy-compliant data collection.