Build and maintain data pipelines, analytics models, dashboards, and external data products while partnering with engineering, product, implementation teams, and customers. The role requires 5+ years of analytics or data engineering experience, strong dbt and SQL expertise, and customer-facing collaboration skills.

The Applied AI Data Analyst evaluates LLM-driven workflows and forecasting models, curates golden datasets, monitors performance, and performs root-cause analysis on complex financial and operational data. The role requires a graduate STEM degree, 2–4 years of quantitative or AI evaluation experience, Python, SQL, and enterprise data infrastructure expertise.

The Senior Software Engineer II will build and operate integrations, APIs, data pipelines, and data contracts connecting Wrapbook with accounting, ERP, data, and AI ecosystems. The role requires strong data architecture and coding experience with Python, Rails, and modern integration tooling.

Leads marketing analytics strategy by owning attribution, full-funnel measurement, forecasting, dashboards, experimentation, and AI/ML-driven insights. The role requires 8+ years of overall experience, deep B2B SaaS marketing analytics expertise, and advanced proficiency with Tableau, Salesforce, Snowflake, and Excel.

Designs and builds scalable distributed data systems and pipelines powering blockchain analytics products. The role is hands-on, requiring production experience with Scala, Java, or Python, big-data technologies, cloud infrastructure, and data orchestration, plus technical leadership and mentoring.

The Data Scientist will analyze healthcare claims, billing patterns, and complex datasets to identify anomalies and support Trust & Safety, compliance, and legal operations. The role requires 5+ years of experience, expert SQL and Python/R skills, data visualization expertise, and strong risk-focused communication.

Improves Salesforce sales-data integrity through SQL analysis, automated monitoring, enrichment validation, segmentation, and account-hierarchy management. The role partners with Sales, Revenue Operations, and GTM Strategy stakeholders to translate data issues into prioritized remediation and business insights.

Builds the account, contact, hierarchy, enrichment, and identity systems that power go-to-market operations. The role requires modern data-stack experience, production LLM development, entity resolution, SaaS integrations, and close partnership with Sales, Marketing, and RevOps.

Build and own the unified data layer powering internal analytics, customer-facing dashboards, benchmarks, and future product intelligence. The role requires production data-pipeline experience, strong SQL and Python, data modeling expertise, and ownership of architecture and data quality.

Research Engineer focused on designing benchmarks, evaluation systems, rubrics, and failure-analysis workflows for frontier language models. The role requires strong applied AI research and coding experience, with expertise in model evaluation, data quality, and backend systems.

Leads the analytics engineering organization and sets strategy for Webflow’s enterprise data architecture, semantic layer, governance, and AI-native data systems. Requires 10+ years of data and analytics engineering experience, strong modern data stack expertise, and demonstrated team leadership.

Conducts causal inference research for financial market prediction and portfolio optimization, developing and validating models from research through live trading. Requires Ph.D.-level coursework, strong causal inference and statistics expertise, mathematical ability, and production Python skills.

Performs actuarial and financial analysis for value-based healthcare contracts, using claims data, SQL, forecasting models, and statistical methods to evaluate performance and support payer partnerships. Requires a quantitative bachelor's degree, ASA or near-ASA credentials, and at least two years of healthcare actuarial experience.

Build and productionize scalable machine learning models and systems for underwriting and portfolio management. The role requires a bachelor's degree and at least two years of experience shipping ML systems, plus expertise in model development, deployment, data pipelines, and deep learning.

Builds and operates large-scale web crawling, extraction, and data engineering infrastructure processing billions of pages. The role requires 5+ years of software engineering experience, strong distributed-systems fundamentals, and proficiency with Java or Python, cloud platforms, Kubernetes, and ETL technologies.

Build and own customer-facing AI products from experimentation through production, including reliable agents, evaluation systems, APIs, interfaces, and infrastructure. Requires at least four years of software development experience and deep production experience with language-model systems.

Build and lead production AI products, including agent systems that use tools, retrieve context, and complete complex tasks reliably. The role requires strong full-stack engineering, deep language-model experience, product judgment, and ownership from experimentation through production.

Leads the vision, statistical methodology, research, and education strategy for Discord’s experimentation platform. The role requires a quantitative PhD or equivalent experience, 4+ years in experimentation or causal inference, and proficiency with statistical programming languages.

Leads technical direction for a research data platform, building scalable pipelines, platform components, and canonical datasets used by ML researchers. The role requires experience with data-intensive systems, schema design, cross-team technical leadership, and hands-on software development.

Build reproducible systems for AI model benchmarking, including datasets, evaluation pipelines, containerized environments, scoreboards, and analysis tools. The role requires 4+ years of professional engineering experience, strong Python, dataset rigor, and Docker expertise.

The Senior Data Analyst will analyze and reconcile payment flows, build reporting automation and real-time dashboards, and provide financial insights across payments, accounting, finance, and product teams. The role requires 4+ years of analytics experience, strong SQL, and familiarity with data warehousing and ETL tools.

This role measures and forecasts referral-channel performance, develops attribution and incrementality frameworks, and guides campaign investment through experimentation, modeling, and dashboards. It requires 4+ years in referral, marketing, growth, or product analytics, advanced SQL, Python or R, and strong causal analysis experience.

This senior data scientist will define measurement frameworks for AI-agent security, evaluate controls and security findings, and improve detection and response outcomes. The role requires 5+ years of quantitative experience, strong SQL and Python skills, and experience with cybersecurity or other adversarial-risk domains.

Senior data analyst supporting clinical, commercial, product, and business development decisions through rigorous statistical analysis, data storytelling, and scalable dashboards and analytical assets. Requires 7+ years of quantitative experience, strong SQL, Tableau, Python, and cross-functional communication skills.

Build and evaluate reinforcement learning environments and AI agents for enterprise workflows. The role focuses on agent training, capability measurement, verifier and reward design, synthetic data pipelines, and improving agent performance through systematic evaluation.

Build and advance multilingual language models through scalable ML systems, research, and large-scale data processing. The role requires deep NLP expertise, strong Python and software engineering skills, and a PhD or equivalent experience, with opportunities to publish research and mentor teammates.

The Pricing Actuary leads client proof-of-concepts, applies P&C ratemaking expertise, and translates insurance requirements into software-driven solutions. The role requires at least five years of pricing experience, strong rate-filing knowledge, and familiarity with predictive modeling and machine learning.

Provides technical leadership for AI and machine learning decision systems supporting sales and marketing, including forecasting, propensity modeling, causal measurement, and recommendations. Requires 5+ years of production data science experience, strong Python and SQL skills, and advanced quantitative training or equivalent experience.

Leads a player-coach data science team and personally delivers product and business analyses, experiments, and strategic recommendations. Requires 10+ years of experience, people leadership, strong statistical and product analytics expertise, and proficiency in Python and/or SQL.

Leads and develops a product-focused data science team while partnering with cross-functional leaders to shape growth strategy, measurement, experimentation, and AI-powered product development. Requires 10+ years in data science or related fields, including 4+ years managing data science teams.

Build production infrastructure for replayable enterprise environments, agent evaluation, and continuous model improvement. The role combines hands-on customer deployment, research experimentation, large-scale data processing, and production software engineering.

Oversees portfolio data processing, verification, quality checks, and issue resolution while collaborating with clients, support teams, Product, and Engineering. The role suits someone with financial-services operations knowledge, strong problem-solving and communication skills, and familiarity with tools such as Excel, SQL, Salesforce, or Jira.

Leads a team delivering product, customer, and business performance analytics across Fetch’s Shoppability portfolio. The role combines analyst management with hands-on work in measurement, experimentation, customer journeys, commercial performance, and cross-functional decision support.

The Forward Deploy Data Scientist will partner with health systems and internal teams to investigate healthcare data, build and operationalize ML/LLM pipelines, and deliver actionable insights. The role requires 2–3 years of data science experience, strong Python and ML/NLP skills, and customer-facing communication ability.

Builds and maintains scalable data platforms and pipelines that support analytics and AI/ML systems. The role requires 5+ years of data engineering or full-stack experience, strong SQL and ETL expertise, cloud infrastructure experience, and a bachelor's degree.

Build and operate edge MLOps infrastructure for smart-camera machine-learning systems, including model deployment, TensorRT compilation, fleet updates, telemetry, and reliability. The role requires production MLOps experience, embedded inference optimization, and strong collaboration with data-science and embedded-engineering teams.

Leads the development and production deployment of large-scale ASR and TTS systems for conversational intelligence products. The role requires 5+ years of industry experience, deep speech-model expertise, and strong software engineering and ML operations capabilities.

Leads a large-scale program to map the primate brain and develop an openly accessible atlas integrating anatomy, connectivity, physiology, imaging, electrophysiology, and computational modeling. Requires deep primate neuroimaging expertise, multimodal data integration, and senior research leadership experience.

Build and scale generative video and multimodal models, optimizing training and inference for efficiency, throughput, and ultra-low latency. The role requires deep learning systems expertise, strong PyTorch/CUDA experience, and the ability to move research models into production.

Conducts end-to-end experimental neuroscience research to read, write, and perturb working-memory representations in mouse cortex. The role combines rodent surgery and behavior, two-photon holographic optogenetics, and computational analysis of neural population data.

Develops a volumetric functional ultrasound imaging platform for whole-brain studies in awake primates, spanning experimental design, hardware collaboration, computational pipelines, and large-scale neuroscience analysis. Requires primate neuroimaging experience, strong Python or MATLAB skills, and expertise in image reconstruction, registration, and multimodal data analysis.

The Senior Product Analyst will analyze B2C user behavior, build scalable data models and self-service analytics tools, and use funnels, experimentation, and statistical analysis to influence product strategy. Requires 5+ years of product or data analytics experience, strong SQL, and excellent stakeholder communication.

Develop computational and theoretical models of neural representations, dynamics, and control using large-scale recordings across subjects and species. The role combines machine learning, dynamical systems, experimental design, and NeuroAI architecture development, with opportunities to lead research and mentor collaborators.

Leads human intracranial neuroscience studies of language, mathematics, perception, and working memory, from cognitive paradigm design through analysis and open-data release. The role requires advanced electrophysiology, quantitative analysis, clinical research collaboration, and a PhD or MD/PhD.

Leads end-to-end experimental systems neuroscience programs studying perception, thought, and internal state through large-scale neural recording and causal perturbation experiments. The role requires multi-animal neurophysiology experience, quantitative analysis skills, and close collaboration with computational and engineering teams.

Analyzes inventory data across warehouses, manufacturing sites, and external partners to improve record accuracy, reconcile physical and system balances, and reduce operational and financial risk. The role requires 3+ years of inventory or supply-chain experience, advanced spreadsheet skills, and strong cross-functional follow-through.

Builds the platform, verifiers, environments, and grading infrastructure used to evaluate enterprise AI agents at scale. The role combines strong software engineering with expertise in agent runtimes, evaluation design, benchmarks, and production failure analysis.

Build and operate AI-driven workflows, integrations, model-routing systems, and agent infrastructure across business and engineering functions. The role also supports model evaluation, AI cost optimization, governance safeguards, and organization-wide training.

Conducts hands-on medicinal chemistry research to evaluate AI-generated molecules and synthetic routes, advancing small-molecule programs from design through experimental validation. Requires a chemistry PhD, sustained synthetic experience, and cross-functional collaboration skills.

Build and operate the data foundations behind AI safeguards, including production pipelines, data stores, governance controls, and internal tooling. The role requires strong Python and SQL skills, production data-platform experience, and expertise in reliable, privacy-conscious systems across multiple cloud environments.