Lead Data Science Analyst, Klaviyo
GTM Strategic Analytics and Insights
$120-180k
More information about location
3+ days a week in office
The autonomous B2C CRM
Be an early applicant
The autonomous B2C CRM
1001+ employees
Be an early applicant
$120-180k
More information about location
3+ days a week in office
1001+ employees
Company mission
Klaviyo is the only autonomous CRM built for B2C brands. Powered by its built-in data platform and AI insights, Klaviyo combines marketing automation, analytics, and customer service into one unified solution, making it easy for businesses to know their customers and grow faster.
Role
Who you are
- The ideal candidate is intellectually curious, strategically minded, and energized by hard problems
- They bring deep technical fluency across the full data science stack, a demonstrated ability to influence senior stakeholders through clear storytelling, and a genuine commitment to building AI-first solutions in a fast-moving SaaS environment
- 6+ years of professional experience in an advanced analytics or data science role; SaaS experience strongly preferred
- Deep expertise in statistical inference and modeling, including supervised techniques (regression, classification, gradient boosting, decision trees) and unsupervised techniques (clustering, PCA, anomaly detection, topic modeling)
- Hands-on experience designing and deploying AI/LLM-based solutions, including prompt engineering, fine-tuning, RAG pipelines, or LLM-integrated analytics workflows; you approach new problems with an AI-first mindset
- Familiarity and experience with distributed coding projects, including using Git for code management
- Advanced proficiency in Python (pandas, numpy, scikit-learn, xgboost, statsmodels, and LLM/AI libraries such as LangChain, OpenAI SDK, or HuggingFace) and SQL; working knowledge of DBT
- Own and scale end-to-end data pipelines, including orchestration with Airflow and transformation/modeling with dbt; design reliable, testable, and modular workflows that support production-grade analytics and machine learning use cases, with a focus on performance, data quality, and maintainability
- Develop and iterate on time-series forecasting frameworks using approaches such as ARIMA/SARIMAX, ETS, MSTL, and machine learning-based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability
- Experience building data visualizations and dashboards across platforms such as Tableau, ThoughtSpot, matplotlib, seaborn, plotly, or similar tooling
- Strong project ownership: experienced operating to a roadmap, managing milestones and deliverables, and delivering high-quality work product in a timely manner
- Comfortable with autonomy and ambiguity, with a proactive orientation toward identifying and solving problems before they're fully defined
- Excellent written and verbal communication skills, including experience preparing materials for executive audiences
What the job involves
- Klaviyo is looking for a Lead Data Science Analyst to join our GTM Strategic Analytics & Insights team
- In this role, you will serve as a senior individual contributor at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy
- You will build and maintain sophisticated predictive and inferential models, conduct deep-dive statistical analyses, and develop AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle
- The successful candidate will partner closely with GTM leadership to shape how Klaviyo understands, measures, and accelerates new business and customer outcomes; from pre-sales motion through onboarding, expansion and retention
- You will operate with a strong bias toward AI-augmented workflows and bring a modern, LLM-aware approach to every analytical challenge
- Build and maintain advanced models: Build and maintain advanced predictive and time-series models: design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity; incorporate seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness
- Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and other statistical methods to surface actionable signals from complex, large-scale datasets
- Develop AI/LLM-powered solutions: architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques to automate insight generation, surface qualitative signals at scale, and augment team capabilities
- Own forecasting and decision systems: Own end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models (e.g., Erlang-based staffing), and production pipelines that power GTM and Support planning workflows; ensure reliability, scalability, and business adoption of outputs
- Drive customer intelligence: develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives
- Define the measurement framework: identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes
- Communicate with impact: distill complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level
- Collaborate cross-functionally: partner with Systems & Engineering, GTM Operations, Rev Ops & Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trusted
Our take
Klaviyo is a SaaS autonomous B2C CRM 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, analyse, 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
Company Specialist at Welcome to the Jungle
Meet the team
Devin Bhatia, Customer Success Manager
Our mission
Create exceptional customer experiences by providing immediate and long-lasting value, while empowering creators to own their growth.Insights
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..."
Company benefits
- Private medical insurance
- Medical
- Dental
- Vision
- Lifestyle spending account
- Commuter benefits
- Modern Health - wellness platform
- Parental leave
- Company equity
- Employee stock purchase plan
- Mental health benefits
- Health savings account (HSA)
- Flexible spending accounts (FSAs)
- Employee assistance program (EAP)
- 401(k) plan with company match
- Flexible paid time off (FPTO)
- 13 company holidays
- Paid parental bonding leave
Company values
- Put customers first: We prioritize our customers > customers’ customers > team > ourselves. We empathize deeply with our customers by walking in their shoes and solving their greatest pain points. We start with what’s best for the customer, not what’s best for us, and work backwards, delivering experiences our customers will talk about.
- Win together: We’re one team, we get to know each other, we’re okay with conflict and willing to disagree and commit. We are honest, direct, transparent, and respectful. We seek and incorporate diverse perspectives and assume good intent.
- We’re 1% done: We’re just getting started – our greatest products, work, and achievements are in front of us. We have a beginner’s mindset – we see the opportunities to build and improve and have the ambition to go after them. We benchmark against the best, aim to beat them, and celebrate when we do.
- Know the score: We’re clear about what success is for each project and how it ladders to our overall success. Results are what matter. Working hard is required, but it’s not success. We use data and past performance to motivate our future strategy.
- Be meticulous in your craft: We seek to do work so good that people rave about it. We are rigorous, thorough and prepared. We are or expect to be the experts everyone in the world turns to.
- Move fast, no shortcuts: Speed matters. We set ambitious deadlines, we like short cycles and being first to market. We don’t skip critical steps or requirements to make a date. We’re comfortable living in the grey and making judgment calls to decide what’s required and what’s not.
- Drivers wanted: No passengers — we’re proactive and engaged, and if we see something wrong it’s our responsibility to fix it or raise the issue to its owner. Have a vision and make sure it’s compelling. No job is beneath us. If it needs to get done, we’re happy to pick it up. We use and spend resources like they’re our own.
- Stay hungry, stay humble: We are insatiably curious learners; our slopes are very high. If we don’t know something, we’re world- class at figuring it out. We take calculated risks and sometimes make mistakes — we’re not perfect. When we fail, we learn from it and improve going forward. Feedback is a gift, even if it hurts sometimes. We don’t tolerate brilliant jerks.
Company HQ
Dublin, Republic of Ireland
Articles
Leadership
Andrew Bialecki
(Co-Founder & Co-CEO)Previously CTO at RockTech, Senior Engineer at Performable, Lead Engineer at Applied Predictive Technologies and an SDET Intern at Microsoft
Ed Hallen
(Co-Founder & Chief Strategy Officer)Previously worked in Enterprise Business Development at Google, Summer Associate at Accel-KKR and Principal at Applied Predictive Technologies.
Chano Fernandez
(Co-CEO)Chano serves as the co-CEO, leading all go-to-market functions at Klaviyo. He previously led organizations at SAP, Workday, and Eightfold.
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