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
What we’re looking for:
Nice to have:
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 access to a professional coaching service for all employees.
Base Pay Range For US Locations:$123,200—$184,800 USDGet to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
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Yearly based
Boston, MA