
Senior Data Scientist, Places
Posted 14 hours ago

Posted 14 hours ago
This is a fully remote position, open to applicants in United States.
• Influence how the Places app leverages data to inform business strategies.
• Integrate data modeling and reporting with product evaluation and experimentation.
• Discover opportunities to enhance user retention and assist the team in assessing and implementing them.
• Develop data solutions from scratch and help define how the team utilizes insights.
• Communicate best practices and create analytical frameworks linking user behaviors to outcomes.
• Take ownership of defining and evolving success metrics for all user-facing features, balancing immediate and long-term member benefits.
• Establish and manage business metrics, semantic layers, and data models.
• Collaborate with Data Engineering to convert product requirements into scalable and reliable data resources.
• Extract insights and translate them into recommendations that influence roadmap prioritization.
• Foster a culture of high-quality experimentation.
• Utilize visualizations to clearly express nuances.
• Employ LLMs, agents, and advanced AI tools to automate analyses, expedite experimentation, and create decision-support workflows.
• Over 5 years of experience in data science and product analytics.
• Bachelor’s and/or Master’s degree in a quantitative field: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc.
• Experience in delivering data products through collaboration with Data and product engineering teams.
• High technical proficiency with analytical tools such as SQL and Python, or equivalent experience in using data to address open-ended business inquiries.
• Solid foundation in applied statistics, including hypothesis testing, confidence intervals, power analysis, and causal inference methodologies.
• Familiarity with contemporary analytics and experimentation tools.
• Experience with consumer-focused products.
• Excellent verbal and written communication skills, with the ability to explain complex statistical concepts to non-experts.
• Practical understanding of AI and a keen interest in how modern AI tools can enhance analytical processes, strategic synthesis, and decision-making support.
• Bonus points for experience in optimizing performance marketing efforts.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and remote work options.
• Opportunities for professional development and continuous learning.
• A vibrant company culture that encourages innovation and collaboration.
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