Technical leader for Nuro’s Behavior & Planning team, developing and deploying advanced machine learning models for autonomous driving. The role requires 7+ years of ML experience, strong Python or C++ skills, and expertise in areas such as sequential decision-making, generative modeling, or foundation models.

Supports autonomous-vehicle road-rule compliance by building data miners and evaluating LLM/VLM triage pipelines across simulation and fleet data. Requires strong Python, PySpark, and SQL skills, multimodal model evaluation experience, and current enrollment in a relevant bachelor's or master's program.

Leads the transformation of operational data into financial models, automated reporting, forecasts, and executive dashboards. The role requires 7+ years in FP&A or strategic finance, advanced SQL and Python, and experience with modern data and BI platforms.

Owns Linktree’s content measurement and audience-insights program, translating cross-channel performance, audience behavior, social listening, search, and competitive signals into actionable recommendations. Requires 5–7 years of experience in insights, marketing analytics, content measurement, or research.

Designs and operates scalable enterprise data pipelines, warehouses, and lakehouse infrastructure using Python, SQL, dbt, Airflow, and Snowflake. The role requires 8+ years of data engineering experience, production ownership, cloud expertise, and strong architectural and mentoring skills.

Build and operate production agentic infrastructure, evaluation systems, guardrails, and enterprise integrations that enable safe, observable AI-assisted engineering. The role requires 3+ years of software development experience, recent LLM or agentic systems depth, strong Python and production operations skills, and sound judgment about automation and trustworthiness.

Analyzes payment network costs, fees, and margin trends while building billing models, validating fee accuracy, and driving cost-saving initiatives. Requires 4+ years in payments, SQL proficiency, financial modeling, and cross-functional technical and operational experience.

Leads autonomous intelligence research into cryptoasset-enabled terrorist financing, investigating actors, networks, wallets, and typologies. The role requires strong OSINT, blockchain analysis, analytical judgment, and communication skills, with the ability to apply AI, Python, or SQL to produce defensible intelligence for institutional and public-sector customers.

Leads architecture and delivery of Instacart’s open lakehouse foundation, governance controls, and multi-engine compute strategy. Requires 10+ years building production-scale data infrastructure or distributed systems, with expertise in lakehouse, streaming, and platform migrations.

Builds scalable data-processing, reconciliation, and regulatory-reporting solutions for Compliance, Finance, and Treasury workflows. The role requires at least five years of software development experience, strong Python and SQL skills, Snowflake expertise, and technical leadership capabilities.

Research and profile cryptoasset service providers, exchanges, custodians, and other entities using blockchain, public, and regulatory data. The role applies AML and jurisdictional risk concepts to support intelligence products used for compliance, risk management, and law-enforcement decisions.

Owns client data onboarding, quality assurance, quantitative analytics, and sustainability reporting for commercial real estate portfolios. The role requires 2+ years of quantitative experience, strong Excel skills, and excellent communication, with SQL and building or carbon data experience preferred.

Leads architecture and development of large-scale financial data management infrastructure, setting technical direction across major initiatives and mentoring engineers. Requires 12+ years of distributed-systems and architecture experience, deep big-data expertise, and broad technical leadership.

The Senior Product Analyst will guide consumer product decisions through KPI reporting, experimentation, forecasting, root-cause analysis, and analytics tooling. The role requires 5+ years in product analytics, data science, or experimentation, plus strong SQL/Python and cross-functional communication skills.

Build and operate highly available datastore infrastructure and platform tooling supporting Auth0’s large-scale services. The role requires 5–8 years of software development experience, infrastructure automation expertise, cloud experience, and familiarity with databases and reliability engineering.

Builds and productionizes post-trained open-source language models and AI agents for safety and customer-care workflows. The role requires applied ML/AI experience, Python and PyTorch expertise, agentic development, generative AI evaluation, and real-time deployment experience.

Senior Data Scientist on Airbnb's Trust team, owning inference, measurement, and experimentation to evaluate and improve defenses against fraud, manipulation, and bad actors. Requires deep expertise in causal inference, Bayesian modeling, and leading complex experiments to drive product and policy decisions.

Leads the architecture, modeling, pipelines, quality systems, and certification processes for a canonical compliance data platform. Requires 8+ years in analytics or data engineering, expert SQL and Python, modern warehouse expertise, and technical leadership under regulatory pressure.

Leads architecture and implementation for Cloudflare’s company-wide data infrastructure, including pipelines, data products, governance, and access services. Requires 8+ years building data infrastructure at scale, strong backend programming skills, and experience leading cross-functional technical initiatives.

Validates and reconciles client data across spreadsheets and platforms, documents discrepancies, and supports multiple implementation projects. Requires a bachelor’s degree or equivalent, at least one year in a detail-focused role, strong organizational skills, and spreadsheet proficiency.

Leads and mentors a data validation team, overseeing work allocation, quality audits, process improvement, documentation, and AI-enabled automation. Requires a bachelor’s degree or equivalent, 3+ years in data validation or related operations, and strong analytical and organizational skills.

The Data Scientist will build, deploy, and improve fraud detection and loss management models while using statistical analysis and experimentation to shape risk strategy. The role requires fraud or financial-crimes experience, strong SQL and Python or R skills, and experience delivering quantitative work cross-functionally.

Leads measurement, experimentation, and decision science for B2B demand generation, connecting marketing investments to qualified pipeline, revenue, and expansion. Requires 10+ years of quantitative experience, advanced causal inference expertise, and strong SQL, Python, and AI-tool fluency.

Leads the architecture, development, integration, and lifecycle evolution of autonomy and motion-planning software for unmanned platforms across multiple operational domains. The role requires production C++ expertise, 7+ years of relevant experience, technical leadership, and eligibility for a U.S. Secret clearance.

Technical Product Engineer advising Digital Native Businesses on integrating Claude API into products. Guides customers from discovery to deployment with expertise in LLMs, prompt engineering, agents, and evaluations; requires 4+ years experience and strong Python/TypeScript skills.

Leads the Revenue Analytics function and team, shaping sales, customer success, professional services, and customer lifecycle analytics to improve forecasting, retention, resource allocation, and revenue growth. Requires executive-level influence, SaaS revenue expertise, and advanced analytics and AI tooling proficiency.

This role analyzes large healthcare datasets, designs scalable data models and pipelines, and develops analytics that support oncology care operations. It requires expertise in healthcare data, SQL-based transformations, claims analytics, and strong collaboration with technical and business stakeholders.

Implements and analyzes marketing analytics solutions for clients, leading technical engagements with Google Analytics, tag management, data visualization, and related platforms. Requires a bachelor's degree, at least two years of hands-on analytics implementation experience, and strong client communication skills.

Owns mid-training for LLMs, optimizing data mixes, synthetic data pipelines, annealing schedules, and context extension to enhance reasoning, coding, and math capabilities for AI agents. Requires deep LLM pipeline expertise, hands-on large model training, and original research contributions.

Conducts research to build end-to-end AI software agents capable of reasoning on real-world tasks, contributing to products like Devin and Windsurf. Requires expertise in applied AI and machine learning.

Builds core infrastructure for AI software agents in Devin and Windsurf, focusing on long-horizon task execution, tool use, planning, and reliability at scale. Requires strong Python, systems engineering depth, and AI curiosity; onsite in San Francisco.

Leads architecture and operations for Cribl’s data platform, including Snowflake, Prefect, dbt, AWS infrastructure, ingestion services, and AI-ready data workflows. The role requires deep Snowflake expertise, strong Python and SQL skills, infrastructure-as-code experience, and the ability to mentor engineers and set technical direction.

The Senior Data Engineer builds and operates large-scale data pipelines and foundational data products for healthcare claims, EHR, and reference datasets. The role requires advanced Python and SQL, Airflow, distributed processing, AWS, production troubleshooting, and strong data reliability practices.

Serves as the analytics partner for People Partners and senior leaders across Stripe’s International organization, delivering workforce insights, self-service tooling, and Visier platform governance. Requires 5+ years in people analytics, consulting, or a related analytical field, plus strong stakeholder communication and data visualization skills.

Drive credit risk strategy for Stripe Capital by architecting policies, analyzing proprietary and third-party data, monitoring portfolio trends, and collaborating with Product, Data Science, and Engineering teams to shape lending products. Requires 5+ years credit analysis experience, strong SQL and data-driven skills.

The Data Scientist will partner with Global Growth teams to design experiments and optimize Stripe’s self-serve onboarding funnel. The role requires substantial data science or quantitative modeling experience, strong SQL and programming skills, and expertise in experimentation, analytics, or related quantitative methods.

Leads architecture and operation of a petabyte-scale data lake platform, including Iceberg metastore services, object storage abstractions, migrations, authorization, and compliance controls. Requires 10+ years of software engineering experience and a track record with large-scale distributed storage or data infrastructure.

Leads engineers building and operating large-scale data discovery, metadata, catalog, pipeline, and warehouse systems while improving data quality and governance. Requires 10+ years of data-systems experience, distributed-systems expertise, backend programming, strong SQL, and technical leadership.

The Data Scientist partners with Local Payment Methods engineering and product teams to optimize the business and guide strategy through analytics, modeling, experimentation, and causal inference. The role requires quantitative modeling experience, SQL, Python or R, strong business judgment, and clear communication.

Leads technical delivery for scalable data systems, pipelines, warehouses, and supporting applications while mentoring engineers and partnering cross-functionally. Requires extensive experience with distributed data frameworks, backend development, SQL, data quality, and technical leadership.

Leads a team delivering reliable, scalable data pipelines, warehouses, and supporting applications for critical product-risk use cases. The role requires 10+ years building and operating data systems, distributed data-processing expertise, backend programming, strong SQL, and technical leadership.

Build, evaluate, and deploy machine learning systems and production pipelines, while improving product capabilities through experiments and LLM integrations. The role requires at least 3 years of experience shipping ML systems and strong ownership in ambiguous, collaborative environments.

Leads distributed data science and analytics teams supporting risk workstreams while establishing data craft standards and culture in the Bengaluru office. The role requires 10+ years in data science or analytics, 3+ years managing data professionals, and strong SQL, programming, statistical modeling, and experimentation expertise.

Builds scalable ML infrastructure services for experimentation, model training, serving, and LLM applications. Requires 2+ years of software development experience plus experience with distributed systems, production ML platforms or MLOps, and high-availability operations.

Build and own data pipelines, models, marts, and services supporting Product, Data Science, and go-to-market teams. The role requires 6+ years of software engineering experience, distributed data processing expertise, backend development skills, and strong SQL.

Conducts customer-facing applied research to determine whether healthcare datasets can support AI model development and evaluation. The role combines ML/LLM method development, healthcare data analysis, feasibility studies, and collaboration with technical and data partnerships teams.

Leads engineering for Spotify’s Conversation Product Area, including shared agent infrastructure, evaluation systems, search, and voice platforms. The role manages approximately 70 engineers and requires deep technical leadership across large-scale ML platforms, agent systems, search, or speech infrastructure.

Own product-area metrics, funnels, experimentation, and behavioral analysis to identify opportunities and drive improvements in activation, engagement, and retention. The role partners directly with product and engineering while building trusted analytics infrastructure and proactive insight systems.

Owns pricing and packaging analytics, models unit economics and willingness to pay, and runs experiments that guide revenue and retention decisions. The role requires strong SQL, Python, applied statistics, experimentation, and cross-functional commercial judgment.

The first data scientist on Lovable’s London growth team will own the funnel from acquisition through expansion, identify high-leverage opportunities, and partner with growth engineering to ship experiments. The role requires strong SQL, Python, applied statistics, and autonomous experimentation skills.