• Strong statistical fundamentals. Passion for experimental design and presentation of data
• 1+ years experience working in a data science or other applied quantitative field
• Proficient in at least one modern programming language and SQL
• Bachelor’s or advanced degree in computer science, applied math, statistics or other relevant quantitative discipline, or equivalent industry experience
• Able to communicate well, work with others, learn continuously, and excited by difficult problems
• Able to think critically about about problems and weigh the engineering and customer impacts of modeling decisions
• Able and excited to pick up new concepts quickly – technical and non-technical

Desirable

• As a Data Scientist on the Intelligence Research Team, you can expect to embed on product teams, learn the ins and outs of their product and problems, and develop data science solutions that are right for the job – potentially including causal inference, predictive machine learning, LLM applications, contextual or multi-armed bandits/RL, probabilistic modeling, experimental design and analysis, and anything else
• You’ll become an expert in fields you had never heard of and share your knowledge with the rest of the organization
• You will receive mentorship from a core team of data scientists while developing the skills needed to tackle highly varied quantitative problems
• You will work alongside software engineers, product managers and designers to deliver an intuitive and robust experimentation suite for Klaivyo's users
• You'll have ownership of projects that contribute to the team's mission, goals, and roadmap while collaborating alongside technical product owners and product managers
• Be data science expert consulting for and embedding on full stack engineering teams
• Build user-facing algorithms that work for large and small data sets - audience sizes on Klaviyo span approximately seven orders of magnitude!
• Design experiments and metrics proving your solutions’ efficacy
• Work cross functionally with product, design, and engineering
• Have ample opportunities for growth