Amplitude2 followers1 job

Customer Data Scientist (Statsig)

Mid levelSeniorFull-timeHybridSydney NSW, AustraliaPosted 1 week agoVerified 2 weeks ago
Pending fitX of Y criteria met

About the job

The Customer Data Scientist job at Amplitude is an exciting opportunity to leverage deep experimentation expertise and applied statistics to help leading organizations enhance their product development. This role is crucial in guiding customers through complex challenges while collaborating closely with various teams to influence the future of the Amplitude and Statsig platforms. Amplitude values a culture of humility, ownership, and customer-centricity, creating a supportive environment for all team members.

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You'll be responsible for

🗣️

Guiding technical discussions

Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
🛠️

Advising on experiment design

Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
📚

Educating teams on best practices

Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.

Key criteria

📊

Data science experience

5+ years in Data Science, Experimentation, or Applied Statistics.

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🔍

Experimentation platform knowledge

Hands-on experience with Statsig, Optimizely, or similar tools.

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📈

A/B testing proficiency

Demonstrated experience designing and analyzing A/B tests.

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A meaningful career starts with a match

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5 criteria for this job
Data science experience
5+ years in Data Science, Experimentation, or Applied Statistics.

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Experimentation platform knowledge
Hands-on experience with Statsig, Optimizely, or similar tools.

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A/B testing proficiency
Demonstrated experience designing and analyzing A/B tests.

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SQL and Python skills
Strong proficiency in SQL and Python for data analysis.

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Customer engagement experience
Experience working directly with customers to solve technical challenges.

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