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Senior Data Scientist

Amplitude
San Francisco, CA$190k – $286kPosted 9 May 2026

Job Description

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role Team We’re looking for a Data Scientist to join the Experiment team within Amplitude. You will be part of a passionate group of product managers, engineers and designers who are working to help modern businesses transform their products through data and experimentation. As a Data Scientist, you have a unique opportunity to deeply influence the product with your knowledge and views on advanced statistical methodologies and customers who are looking to learn from an expert on experimentation best practice. Join Amplitude and play a crucial role in shaping the future of experimentation and digital analytics. If you’re driven by innovation, strategic impact, and customer success, we’d love to hear from you! Our ambitious machine learning for experimentation agenda includes but is not limited to: Causal effects modeling or heterogeneous treatment effects analysis Analyzing experiments that have social network effects (ex: difference in differences, Switchback, Synthetic Control) Time Series modeling Bayesian hypothesis testing Understanding how teams run experiments B2B Experimentation Innovating and implementing machine learning and data mining algorithms on distributed platforms to solve real-world product analytics and user behavior modeling problems. You'll be a great addition to the team if you have: A masters or Ph.D. degree in computer science, mathematics or related areas with extensive research/project experience in data science, experimentation, digital product optimization, math, statistics, etc. Have built and extensively used data pipelines in a variety of data warehouse environments. Proficiency with Python and SQL In-depth experience with Spark/Hadoop Has 2+ years of experience working as a Data Scientist in the past and is familiar with the Experimentation space, including hands-on experience using experimentation products Are interested and comfortable communicating with customers as a trusted advisor Our values: At Amplitude, our values guide how we show up for one another and for our customers: Humility: We operate from a place of empathy and openness, seeking to understand many points of view. Ownership: We take the initiative to solve problems that drive our shared company success. Growth Mindset: We’re tenacious in the face of challenges and seek feedback in order to grow ourselves and others. Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success. We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers. Some of our benefit programs include: Excellent ​M​edical, ​D​ental and ​V​ision insurance coverages, with 100% employer-paid premiums for employee Medical, ​Dental,​ ​​​​​​​​Vision on ... (truncated, view full listing at source)
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