Senior Data Scientist – Product Insights

Required Qualifications

• Experienced data leader – You have a strong quantitative background and 6+ years of experience in data science or analytics, ideally in an online company. You’re comfortable owning complex projects and guiding teams in data-driven decision-making.
• Advanced technical skills – You’re highly proficient in SQL and experienced in writing code to transform data into insights, whether in Python, R, or another language. You can handle large datasets, optimize data pipelines, and work with tools like Looker Studio, Tableau, Power BI, and data transformation tools like dbt or Dataform.
• Deep statistical expertise – You have a strong grasp of statistics and apply advanced techniques like regression analysis, causal inference, time series modeling, and hypothesis testing to extract meaningful insights and drive impact.
• Web and app analytics – You have extensive experience with tracking tools like Google Analytics (GA) and Google Tag Manager (GTM), and can design, implement, and validate measurement strategies.
• Experimentation and impact analysis – You have hands-on experience designing and evaluating A/B tests and other experiments, ensuring robust methodologies that lead to actionable insights.
• Strategic problem solver – You go beyond analyzing data—you proactively identify opportunities, define success metrics, and influence business and product strategy through data-driven recommendations.
• Strong communicator and mentor – You work effectively with leadership, engineers, and product teams, translating complex data insights into clear recommendations. You also enjoy mentoring junior data scientists and fostering a data-driven culture.
• Proactive and entrepreneurial mindset – You take ownership, solve problems autonomously, and drive initiatives forward—even when it means stepping outside your comfort zone.