Amplitude
Customer Data Scientist
Vaga remota de Sales com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeNível aberto
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Customer Data Scientist
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
- Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
- Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.
- Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development.
- Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.
- You have built, scaled, or supported experimentation programs within a product-led technology company and understand both the technical and organizational challenges involved.
- You have experience working with experimentation platforms such as Statsig, Eppo, Optimizely, LaunchDarkly, or similar technologies.
- You are comfortable engaging with highly technical audiences and can effectively communicate complex statistical concepts to data scientists, engineers, executives, and business stakeholders.
- You enjoy translating technical depth into practical business outcomes and helping organizations make better product decisions through experimentation.
- You have experience influencing product strategy, technical roadmaps, or best practices based on customer needs and market feedback.
- 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
- Hands-on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.
- Strong proficiency in SQL and python and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
- Experience using Python or R for statistical analysis, experimentation, and data modeling.
- Experience working directly with customers, stakeholders, or cross-functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.
Our values:
- 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.
Our values:
- 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)
Our values:
- 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.
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