Own the outcome from ambiguous customer problem to measurable impact, including building data when it doesn't exist and shipping models into real products.
Make the value legible by ensuring predictions are understandable, trustworthy, and actionable, and report realised impact back to the business.
Deliver end-to-end by operating deployment, testing, versioning, monitoring, and drift detection, and embed with product teams to put ML inside real workflows.
Own and identify innovative strategies across the revenue waterfall to grow and recover revenue, backed by data insights from testing, simulations, and ML models.
Build talk tracks and narratives for client-facing teams to continuously optimize and grow existing partnerships.
Influence the product roadmap by testing optimization ideas and partnering with Product and Engineering to turn them into features.
Extend is revolutionizing the post-purchase experience for retailers by providing AI-driven solutions for customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners and is backed by prominent tech investors, with a collaborative and supportive remote-first culture.
Manage and guide engineering teams, building end-to-end data pipelines using Fivetran, dbt, Snowflake, and Databricks.
Partner with Finance, Sales, and Operations to unify reporting models for pipeline health, ARR, churn, and LTV.
Enforce data governance and modeling standards, while serving as a trusted advisor to C-suite leaders.
JumpCloud is the AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. It is a remote-first company with teams in over 15 countries, fostering a collaborative and inclusive culture.
Own Moxie's data infrastructure end to end: pipelines, warehouse, and the modeling layer that every published number depends on.
Partner with Engineering on production schema changes and with Finance to model accounting logic.
Deliver high-impact data projects like accrual accounting models and historical EMR data modeling.
Moxie empowers aesthetic entrepreneurs to build profitable, independent practices. It is a global, remote-first team supporting 700+ practices nationwide, with a culture of ownership, speed, and care.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion to analytics enablement.
Work closely with Product, Analytics, and Engineering to improve data quality and monitoring.
We are a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we’re a high-performance team operating at pace with high ownership and constant iteration.
Identify and pitch high-value opportunities where data, analytics, or automation can improve business outcomes.
Own projects end-to-end, from problem definition through implementation, adoption, and impact measurement.
Build scalable, production-quality data models in dbt and design reusable data foundations for BI, ML, and AI use cases.
Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. The company raised $450M in Series D funding in 2025 and fosters a remote-friendly culture.
Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Design, build, and maintain scalable data pipelines and platform infrastructure on Snowflake, owning the platform end to end.
Champion data quality, governance, and consistency, ensuring high-trust data for all downstream consumers.
Build with AI-native tooling, setting up development environments and establishing team practices for the AI era.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Lead data science initiatives on the Document, Accounting, Takeoffs and Pro Commerce tracks, defining key metrics and driving product strategy.
Design and analyze A/B tests and causal inference experiments, applying machine learning methods to deliver actionable insights.
Dig into complex datasets, translate findings into clear narratives and dashboards, and provide technical guidance to junior team members.
Houzz is the leading platform for home remodeling and design, providing an all-in-one software solution for industry professionals and tools for homeowners. It is a community-centric, innovative tech company with a mission-driven culture focused on making home renovation and design more productive for everyone.
Design and build scalable data pipelines and dimensional data marts with cross-functional teams.
Drive adoption of AI tooling and self-service analytics across the company.
Contribute to data governance, security, and analytics engineering standards.
Mercury is a fintech company building an AI-native data platform that enables reliable analytics and AI-powered products. They value diversity and belonging, with a high-performing data team and an inclusive culture.
Build and scale data pipelines for ingestion into Snowflake, focusing on reliability and performance across a $750M+ e-commerce business.
Design and ship agentic systems that automate data engineering work, including pipeline generation, testing, and maintenance.
Collaborate with analysts, data scientists, and product teams to deliver end-to-end data solutions, from ingestion to advanced analytics and AI.
Babylist is the leading platform for expecting and new families, offering a universal registry, shop, health, and more. With over 10 million users and $750M revenue in 2025, Babylist is a remote-first, AI-forward company that values focus, intention, and recharging.
Design, build, and maintain high-quality datasets for customer-facing reporting.
Collaborate with engineers to assess and mitigate the impact of upstream product changes.
Mentor junior engineers and teach them SDLC best practices and engineering methodologies.
Immersive is a cyber resilience platform that helps organizations test and improve security readiness. Founded in 2017, the company has grown to over 300 employees globally and has been voted a Best place to work.
Measure the impact of customer engagements on pipeline, renewals, and predictive model performance.
Run before-and-after and holdout-style analyses to separate real effects from noise.
Build dashboards and value analyses for customers, leadership, and Customer Success.
6sense is an intelligence platform for agentic go-to-market, turning one trillion signals into AI-powered buying insights for B2B teams. The company fosters a growth mindset culture focused on employee well-being, belonging, and continuous learning.
Combine insurance domain expertise with full-stack data and analytics engineering.
Design rigorous data models, pipelines, and semantic layers for AI reliability.
Use SQL, Python, dbt, and Snowflake to build and maintain data infrastructure.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company values teaching, facilitating, and influencing to help people embrace new ways of working.
Build data pipelines that pull information from ERP, CRM, and accounting systems, covering ingestion, processing, and storage.
Put data quality and lineage controls in place so any number can be traced back to its source.
Build and manage training and evaluation datasets that power and measure AI models.
Lunon is an AI-native consulting firm in New York City backed by General Catalyst, embedding engineers inside client businesses to ship AI solutions that run without them. The team is young and fast-moving, with everyone owning what they ship end to end.
Design, build, and operate AI systems and agentic workflows that connect foundation models to data, tools, and applications.
Own production quality: observability, testing, security, and cost built in from the start.
Define reusable patterns and drive architecture decisions across quality, risk, and cost.
Workleap is a Montreal-based tech company founded in 2006, making simple products that matter for work, including Workleap Agent and ShareGate. With over 15,000 companies trusting us, we value builders, pragmatism, and reliable delivery, and are intentional about who joins.
Own the full ML lifecycle for Misdirected Email detection, from data wrangling to deployment and monitoring.
Run rigorous experiments and A/B tests, set thresholds, and conduct error analysis to prevent regressions.
Partner with product and engineering stakeholders to align deliverables and ensure successful GA launches.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 5,000 enterprises trust our behavioral AI platform.
Own technical design of the data platform powering Palmetto's products, partners, and AI agents.
Build governed, trustworthy data products from bronze to gold for analysts, engineers, and AI tools.
Operate secure, authorized access paths and pipelines with CI/CD, observability, and SLAs.
Palmetto is a consumer energy platform providing homeowners a single destination for solar, battery storage, HVAC, and more. They serve hundreds of thousands of homeowners across 30+ states and value talent development, collaboration, and purpose-driven work.
Orchestrate production pipelines on Databricks Jobs with task dependencies and failure handling.
Manage model lifecycle in MLflow and Unity Catalog across dev, QA, and production.
Ensure operational continuity with cost monitoring, observability, and incident diagnosis.
Muttdata builds innovative data products and machine learning solutions for demand planning, forecasting, and e-commerce. As a fast-growing, remote-first startup, they value ownership, collaboration, and continuous learning.
Build and maintain dbt models and core datasets for Accounting reporting.
Improve platform reliability through testing, alerting, and runbooks.
Optimize performance and cost in Snowflake and dbt to support scaling.
Affirm provides clear, predictable payment plans over time with no hidden fees or surprises. The company is a remote-first organization focused on transparency, care, and flexibility for employees.
Architect and own marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.
Design semantic layers, data dictionaries, and documentation that enable self-serve BI and conversational analytics.
Lead cross-team initiatives and drive AI-enabled data products and agents from concept to production.
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, helping organizations that run physical operations harness IoT data to improve safety, efficiency, and sustainability. As a recently public company, it offers a high-growth, collaborative culture with autonomy to make an impact.