The Klaviyo Data Science team loves programming and the excitement that comes with building something people use. We are the kind of people that love talking to users and can find the balance between solving a problem quickly and thinking about how code will scale in the future. We love to move fast, keep learning, and get stuff done.

Klaviyo operates a real-time data platform coded in Python built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Our data science team takes ideas from inception to new machine learning-powered features that ship to our hundreds of thousands of users. You’ll be central to creating features that help our customers learn and grow from their data. 

We love tackling tough engineering problems and are looking for a Senior Full Stack Engineer who specializes in certain areas but is passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way.

Technologies we use (not comprehensive!):

• Python
• Numpy, Scipy, Pandas
• Aurora, Cassandra, Kafka
• HTML, JavaScript, React
• SageMaker

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech and listen to our data science team podcast at https://medium.com/klaviyo-data-science

How you will make a difference:

• Build features built on data science that thousands of our customers rely on daily to reach 100M+ of consumers to drive their business forward
• Ship code early & often in an agile fashion, pairing with product management to craft better software by soliciting feedback from thousands of end users
• Be empowered to own the mission, technical direction and operations of projects that have immediate impact
• Test data science algorithms and techniques on data sets and engineer data systems that let non-technical users make decisions with their first party data in real time
• Advance your technical skills in all facets ranging from front end web development and user experience to machine learning and massively parallelized data pipelines
• Contribute to the company as a subject matter expert in multiple areas, constantly pushing yourself to be a better engineer and to level up all of your peers within your team and within Klaviyo

Who You Are:

• 2+ years of software engineering experience in a fast-paced SaaS environment
• Enjoy working with new technologies ranging from the frontend to backend, and are particularly passionate and an expert in multiple stack areas
• Passionate about working with Data Scientists in productizing data science / machine learning models for end-users, including building out the necessary back-end and UX/UI
• Deep knowledge of object oriented programming and experience with at least one object oriented programming language (Python, C++, Java, Javascript, C#, Ruby)
• Basic understanding of database technologies such as SQL, PL/SQL and relational database schema design in production
• Have a bachelor’s or advanced degree in computer science, applied math, statistics or other relevant quantitative discipline, or equivalent industry experience.