Senior Data Scientist

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 Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
• 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
• Flexible time off, paid holidays, and more
• Generous stipends to spend on what matters most to you, whether that's wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more
• Excellent Parental benefits including: 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
• Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions
• Employee Stock Purchase Program (ESPP)

Other fun facts about Amplitude:

• Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2.
• We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market.
• We invest in our people. We offer mentorship programs, management training, and wellness initiatives.
• We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.
• We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL.
• We're a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
• Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom.

Amplitude provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This role is eligible for equity, benefits and other forms of compensation.

Based on Colorado law, the following details are for individuals who will work for Amplitude in Colorado. Colorado range: $190,000 - $286,000 total target cash (inclusive of bonus or commission)

Based on legislation in New York City, the following details are for individuals who will work for Amplitude in New York City. New York City salary range: $211,000 - $316,000 total target cash (inclusive of bonus or commission)

Based on legislation in California, the following details are for individuals who will work for Amplitude in San Francisco Bay Area of California. Salary range: $211,000 - $316,000 total target cash (inclusive of bonus or commission)

Based on legislation in California, the following details are for individuals who will work for Amplitude in California outside of the San Francisco Bay Area. California salary range: $190,000 - $286,000 total target cash (inclusive of bonus or commission)

Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington state. Washington salary range: $190,000 - $286,000 total target cash (inclusive of bonus or commission)

Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington only: unlimited PTO, 10 to 13 holidays annually (will vary), medical dental and vision PPO and CDHP plans. Finally, a company sponsored 401(k) retirement plan.

By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice.

Staying Safe - Protect Yourself From Recruitment Fraud
We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @amplitude.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.