Experimentation Data Scientist — Causal Analytics & Equity

Amplitude; San Francisco (CA); On-site; USD 211,000 - 316,000; Full time

Benefits offered by this job

Medical, Dental and Vision insurance

401(k) employer match

Flexible time off

Learning and development stipends

Parental benefits

Mental health and wellness benefits

Job summary

Amplitude is seeking a Data Scientist for their Experiment team in San Francisco, California. The ideal candidate will have a master's or Ph.D. in a related field and experience in data science, particularly in experimentation and product optimization. Responsibilities include analyzing experiments, causal effects modeling, and innovating machine learning algorithms. Benefits include comprehensive medical insurance, a 401(k) matching plan, and generous stipends. Salary range is $211,000 - $316,000 based on location and experience.

Qualifications

• Extensive research/project experience in data science and experimentation.
• Built and extensively used data pipelines.
• Familiarity with experimentation products.

Responsibilities

• Analyzing experiments with social network effects.
• Implementing machine learning algorithms for product analytics.
• Innovating in data mining algorithms.

Skills

Python

SQL

Spark

Hadoop

Causal effects modeling

Time Series modeling

Bayesian hypothesis testing

Education

Masters or Ph.D. in computer science, mathematics or related areas

Tools

Data pipelines

Data warehouse environments

Job description

Amplitude is seeking a Data Scientist for their Experiment team in San Francisco, California. The ideal candidate will have a master's or Ph.D. in a related field and experience in data science, particularly in experimentation and product optimization. Responsibilities include analyzing experiments, causal effects modeling, and innovating machine learning algorithms. Benefits include comprehensive medical insurance, a 401(k) matching plan, and generous stipends. Salary range is $211,000 - $316,000 based on location and experience.