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 klaviyo.com/careers to see how we empower creators to own their own destiny. Summary 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. 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. How You Will Make a Difference - 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 Who You Are - 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 Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $120,000—$180,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get 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. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. 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. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

The Centre for Information Resilience (CIR) is an independent organisation dedicated to exposing human rights violations and threats to democracy. We achieve this through open-source research, digital investigations, capacity-building with local partners, and collaboration with media to amplify our impact.  CIR was born out of a determination to expose those spreading harm – online and offline – around the world, particularly in areas of violent conflict, such as Ukraine, Sudan and Myanmar. Our projects are at the forefront of efforts to investigate and document human rights abuses, war crimes, harms targeting women and minorities, and influence operations. We work closely with multilateral and national justice accountability bodies.  We're always looking to connect with experienced investigators who specialise in collecting, analysing, and interpreting open-source data to generate actionable intelligence. Whether you're currently working in the private sector, law enforcement, journalism, or national security, we want to hear from you.  Role details  The role:  The OSINT Analyst – Open-Source Data Collection and Evidence Archiving (Ukraine) will work in a team dedicated to investigating war crimes and human rights abuses associated with the conflict in Ukraine. They will focus on systematic collection, verification, and archiving of open-source material related to the war in Ukraine. The analyst will contribute to and maintain structured evidence datasets drawn from social media, messaging platforms, and other open sources, supporting large‑scale databases that underpin investigations, reporting, and public-facing mapping products.    Contract Type: Contractor  Contract duration: Until 31 March 2027. Immediate start available.  Hours needed for this role:  Full time.  Languages: You must be able to speak and write English. Ukrainian and/or Russian language proficiency desirable.  Location: Remote. The candidate may make use of CIR’s office premises in Westminster, London or Kyiv, Ukraine.  Closing date: Monday 27th April 2026.

Role Description The OSINT Analyst – Open-Source Data Collection and Evidence Archiving (Ukraine) will work in a team dedicated to investigating war crimes and human rights abuses associated with the conflict in Ukraine. They will focus on systematic collection, verification, and archiving of open-source material related to the war in Ukraine. The analyst will contribute to and maintain structured evidence datasets drawn from social media, messaging platforms, and other open sources, supporting large-scale databases that underpin investigations, reporting, and public-facing mapping products. - Contract Type: Contractor - Contract duration: Until 31 March 2027. Immediate start available. - Hours needed for this role: Full time. - Languages: You must be able to speak and write English. Ukrainian and/or Russian language proficiency desirable. - Location: Remote. The candidate may make use of CIR’s office premises in Westminster, London or Kyiv, Ukraine. - Closing date: Monday 27th April 2026 at 23:55pm. Main Responsibilities - Collect, verify, and archive large volumes of open-source material, including social media posts, messaging platform content (e.g. Telegram), videos, images, satellite imagery, and other digital data related to the Ukraine conflict. - Apply OSINT verification techniques, including geolocation, chronolocation, metadata analysis, and source evaluation, to ensure collected material meets relevant evidentiary, analytical, and quality standards. - Structure, tag, and catalogue open-source material within evidence databases to support efficient retrieval, analysis, and long-term preservation. - Collaborate closely with investigators, analysts, and CIR’s Data and Technology Team to ensure collected material supports investigative, legal, and public reporting needs. - Deliver training and mentoring to colleagues and partners on best practices for open-source evidence collection, verification, and archiving. - Uphold CIR’s standards for ethical, safe, and secure investigative practice, ensuring compliance with organisational policies and safeguarding requirements, including risk mitigation and responsible handling of sensitive or graphic content. Qualifications - Demonstrable prior experience of OSINT collection, verification, and archiving. - Excellent written and verbal communication skills, including the ability to translate technical terminology for lay audiences and to support clear, concise and timely reporting. Requirements - Prior experience of digital evidence handling, assessment, or e-discovery practices. - Prior experience of delivering training, skill-sharing, or capacity-building, particularly in OSINT contexts. - Working proficiency in Ukrainian and/or Russian languages. Recruitment Process To apply, please submit your CV and complete the application form questions. Shortlisted candidates will be invited to interview, which can be conducted remotely unless specified otherwise. CIR encourages applicants from under-represented communities. CIR is an equal opportunities employer. If you require adjustments or additional support to complete this process, please let us know in your application.

Über die Position Wir bieten ein Praktikum im Bereich Data Analytics mit starkem Business-Fokus, bei dem du an der Schnittstelle zwischen Datenanalyse und Entscheidungsfindung in verschiedenen Teams arbeitest Deine Mission - Du fungierst als zentrale Schnittstelle zwischen Daten und verschiedenen Abteilungen und übersetzt Erkenntnisse in konkrete, umsetzbare Handlungsempfehlungen - Du erstellst regelmäßige Performance-Reports zur Überwachung von KPIs sowie detaillierte Analysen zur Lösung spezifischer geschäftlicher Fragestellungen - Du erkennst Trends frühzeitig und führst eigenständig diagnostische Analysen durch - Du unterstützt Teams bei Bedarf bei der Dateneingabe und stellst dabei eine hohe Datenqualität und Genauigkeit sicher - Du übernimmst Verantwortung für deine Aufgaben, erkennst proaktiv Optimierungspotenziale und treibst eigenständig Initiativen voran – auch im Remote-Setup Das bringst du mit - Grundlegendes Verständnis von zentralen E-Commerce-KPIs und Business-Metriken - Vertrautheit mit Business-Intelligence-(BI)-Tools und Datenvisualisierungskonzepten - Sehr gute Kenntnisse in Google Sheets (z. B. Formeln, Pivot-Tabellen) - Grundkenntnisse in SQL zur Datenabfrage und -verarbeitung - Sehr gute Englischkenntnisse in Wort und Schrift - Ein hohes Maß an Verantwortungsbewusstsein, Selbstorganisation und Proaktivität sowie die Fähigkeit, in einem vollständig remote organisierten Umfeld eigenständig zu arbeiten Das bieten wir dir, außer einem guten Bauchgefühl - Herausforderungen gehen wir stets als ambitioniertes Team an, das an seine Mission glaubt, Gesundheit und tägliches Wohlbefinden zu einem Lebensstilkonzept zu machen - Ein motiviertes, junges Team im Herzen von München, das mit Top-Talenten wie Dir wachsen möchte - Spannende Produkte basierend auf neuesten wissenschaftlichen Erkenntnissen, die Menschen einen großen Mehrwert bieten - Flexible Arbeitszeiten und faire Urlaubsregelung sowie Brandmerch - Regelmäßige Veranstaltungen wie Offsites, Knowledge Nights und Teamevents