Lead Data Scientist - Senior Staff

September 30

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Apollo GraphQL

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Description

• About Apollo • Whether you binge-watch a series on Netflix, plan faraway vacations from your phone, or read international news online, you’ve likely used Apollo’s technology this week. Apollo supports some of the largest GraphQL platforms in the world. • We’re not looking to rest on our laurels though — we’re aiming to change how software is built. Apollo wants to empower every software team to build an amazing user experience across any number of clients, without dealing with a barrage of API endpoints. Are you with us? • About the team • We are building a best-in-class Data practice and looking for a Lead Data Scientist to partner with the Product, Finance, Growth and Go-to-Market teams. • Our work is broad and varied, influencing how our product works (e.g. understanding user needs, product friction, product adoption across multiple user personas), how our business works (forecasting key outcomes, building strategic KPIs), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. While we have built out a solid data warehouse, our next step is to leverage this data and drive high impact by enabling the right strategic decisions for our product, business and users. • As Lead Data Scientist at Apollo, you’ll be the pioneer in setting up our Data science practice, being the first on the team. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. You’ll build the systems that ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. You have the technical excellence, leadership skills, and a track record of impactful work. • Who you are • You care deeply about working effectively across cross functional teams to land outcomes. You’re fundamentally excited to be a part of building the infrastructure of the future. You have an insatiable curiosity, humility and drive to hone your craft. You lead with a growth mindset – the work is never done and there’s something to learn from everyone. We highly encourage you to apply if you meet these minimum requirements.

Requirements

• ~10 years of data science/quantitative modeling experience to solve business and product problems; proficiency in SQL and a computing language such as Python or R • Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation • Demonstrated experience of leading organization-wide initiatives spanning multiple teams, or leveraging deep domain and business expertise to influence tech roadmap planning and execution • Ability to communicate results clearly with a focus on driving impact • Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes • Demonstrated ability to balance execution and velocity with research, statistical depth, and scalable design. • A builder's mindset with a willingness to question assumptions and conventional wisdom