Full Stack Data Scientist

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). Data Scientists come to Klaviyo with experience in a variety of quantitative methods and from a number of disciplines. 

 

The Intelligence Research team is a data science team that consults for and embeds on customer-facing product teams, across experimentation, optimization, predictive analytics, anomaly detection, product recommendations, and reporting. We work with these teams to develop new products and models and incubate high-risk high-reward ML/AI ideas. We stay ahead of the curve and build the technical foundation for our fast-moving product teams. We serve as statistics and machine learning experts and take rigor in our statistical methods and model explainability seriously. Our work is very collaborative within the engineering and product organization, identifying product opportunities and needs where data science techniques are the best solution.

 

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. Your tech stack will include Python, Scipy, PySpark, Ray, AWS, PyTorch, CausalML, and others you identify – we expect this data scientist to actively evolve our tech stack. 

 

How You Will Make A Difference

• 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 

 

What we’re looking for:

• Strong statistical fundamentals with a passion for experimental design and presentation of data 
• 1+ years experience working in a data science or other applied quantitative field
• Proficient in SQL and at least one modern programming language
• 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

 

Nice to have:

• Experience working with bandit algorithms or causal inference
• Experience querying large datasets or data warehouses using Spark or similar technologies
• Experience working with complex production codebases
• Experience working in Python or writing production quality code

The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and ac