Data Scientist, Klaviyo

Research

$123.2-184.8k

SQL
AWS
Python
Spark
PyTorch
Junior and Mid level
Boston

1+ day a week in office

Klaviyo

Intelligent marketing automation powered by customer data

Job no longer available

Klaviyo

Intelligent marketing automation powered by customer data

1001+ employees

B2BMarketingContenteCommerce

Job no longer available

$123.2-184.8k

SQL
AWS
Python
Spark
PyTorch
Junior and Mid level
Boston

1+ day a week in office

1001+ employees

B2BMarketingContenteCommerce

Company mission

To give online brands direct ownership of their consumer data and interactions, empowering them to turn transactions with customers into long-term relationships—at scale.

Role

Who you are

  • 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

  • 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

What the job involves

  • 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

Our take

Klaviyo is a marketing firm helping growth-focused eCommerce brands drive more sales with super-targeted, highly relevant email, Facebook and Instagram marketing campaigns. From personalised newsletters to automated emails when customers abandon their shopping carts, the marketing automation platform makes it easy for businesses to capture, store, analyze, and predictively use their own data to drive measurable, high-value outcomes.

Klaviyo's CEO, Bialecki, believes that the main problem with e-mail marketing today is that there is a divide between two kinds of tools: analytics tools that help you understand what people are doing on a website, such as what products they are considering, and messaging tools that send them a marketing e-mail. Operating primarily within the retail and eCommerce industry, Klaviyo aims to solve this by offering a tool that brings together analytics and messaging. This allows companies to bring all of their first-party data into a single platform to get a deep understanding of their customers and then activate that data to deliver highly-targeted, personalised communications through email and SMS. In the process, Klaviyo's customers get a deep understanding of their consumers.

Klaviyo is a fast-growing company mainly due to its business model - the firm offers a concrete ROI for Klaviyo’s clients if the software persuades customers to make purchases by treating different types of customers differently. An IPO in 2023 has led to Klaviyo's release of Klaviyo AI, which empowers businesses to unlock revenue-driving opportunities and deliver exceptional customer experiences across channels. Still in its early days of public listing, it will be interesting to see how Klaviyo fares in the years to come.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

46% female employees

4% employee growth in 12 months

Company

Employee endorsements

Opportunities to learn

"Not only we have a good stipend to spend on learning but we also have development days every quarter, where we can switch off and focus on the areas..."

Funding (last 2 of 6 rounds)

Aug 2022

$100m

LATE VC

May 2021

$320m

SERIES D

Total funding: $778.5m

Company benefits

  • Private health care cover
  • All full time employees receive equity
  • Commuting allowance for when you do travel to the office,
  • A very generous education allowance every year for you to spend on learning and development.
  • Free books policy - if you’re better off for having read it (or listened to it—audiobooks are covered too!) we’ll pay for it.
  • Generous and flexible PTO policy
  • Participation in Klaviyo ESPP

Company values

  • We always put our customers first.
  • We are owners.
  • We strive to make the world more equitable.
  • We are ambitious.
  • We are always learning.
  • We collaborate radically.
  • We are remarkable.

Company HQ

Financial District, Boston, MA

Leadership

Previously CTO at RockTech, Senior Engineer at Performable, Lead Engineer at Applied Predictive Technologies and an SDET Intern at Microsoft

Ed Hallen

(Chief Product Officer)

Currently an Advisor at Team Engine. Previously worked in Enterprise Business Development at Google, Summer Associate at Accel-KKR and Principal at Applied Predictive Technologies.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

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Diversity, Equity & Inclusion at Klaviyo

Katelyn Nnake headshot

Katelyn Nnake (Director of Diversity, Equity & Inclusion)

  • At Klaviyo one of our key values is "we strive to make the world more equitable"
  • In 2023 over 75% of Klaviyos participated in a Klaviyo Resource Group

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