Senior Data Scientist

Amplitude
San Francisco, US
On-siteCareer-pivot friendly

Who this role is best for

Best suited to senior data scientists with expertise in experimentation and statistical methodologies working in digital product analytics.

Best fit for

  • Candidates with advanced degrees and research experience in data science will thrive here.
    — “A masters or Ph.D. degree in computer science, mathematics or related areas
  • Those comfortable advising customers on experimentation best practices are ideal.
    — “Are interested and comfortable communicating with customers as a trusted advisor
  • Professionals with hands-on experience in B2B experimentation will find this role aligned.
    — “Has 2+ years of experience working as a Data Scientist in the past

Things to consider

  • The role requires proficiency in Python, SQL, and Spark/Hadoop.
    — “Proficiency with Python and SQL
  • Candidates must be willing to engage in customer-facing advisory roles.
    — “communicating with customers as a trusted advisor

How to stand out

  • Highlight specific projects where you implemented Bayesian hypothesis testing.
    — “Bayesian hypothesis testing
  • Demonstrate experience with causal effects modeling in past roles.
    — “Causal effects modeling or heterogeneous treatment effects analysis
  • Showcase your ability to innovate in machine learning for product analytics.
    — “Innovating and implementing machine learning and data mining algorithms
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • develop advanced statistical models
  • analyze experiments with social network effects
  • implement machine learning algorithms
  • communicate with customers
Typical background
data sciencemachine learningstatistics

Skills & requirements

Required

Data AnalysisMachine LearningStatistical ModelingPythonSQLSpark/hadoop

Preferred

Bayesian Hypothesis TestingTime Series AnalysisExperimentation

Stack & domain

PythonSQLSparkHadoopCommunicationData ScienceExperimentationDigital Product Optimization

About the role

Original posting from Amplitude via Greenhouse

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 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, ​p​aid 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

Source: Amplitude careers (Greenhouse)

Similar roles