718 open roles · average listed pay $181k · 240 new this week · 194 remote
We’re hiring a Data Scientist to support Real Estate & Workplace (REW), a fast-moving global team focused on creating workplaces that help OpenAI’s people do their best work while scaling the company’s real estate and workplace operations.
Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts. Build and maintain critical reporting data models that power external merchant reporting.
Develop models and optimization approaches that improve upper-funnel marketing performance, such as spend allocation, channel mix optimization, budget pacing, media efficiency measurement, audience strategy, and forecasted revenue impact.
Discord · 2mo ago
Formulate the vision and set the roadmap for the future of the Experimentation Platform, in partnership with engineering, product, and data science stakeholders.
Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, and/or Flink. Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement.
We're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies — and to stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact.
Full stack development, building models to consume, transform, and expose data to stakeholders and production systems. Drive a culture of experimental design, testing agenda, and best practices.
Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows.
Databricks · 3mo ago
As a Specialist Solutions Architect (SSA) – Data Engineering & Warehousing, you will guide strategic enterprise customers through cloud data engineering transformations across a wide variety of mission-critical use cases.
Set technical direction for Consumer Revenue data engineering: identify foundational gaps, define scalable architectures and standards, and lead high-impact initiatives from design through adoption.
Covering GTM-wide strategy, operations and analytics, we are proactive, data-driven partners to leadership – providing critical insights, driving operational efficiency, and getting things done.
We are hiring a Data Scientist to lead measurement, experimentation, and decision science for B2B marketing demand generation. You will help us understand which marketing investments create incremental demand, qualified pipeline, and revenue and how to scale them efficiently.
As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies. Own end-to-end delivery of critical data and eval projects that capture meaningful training signals and support rapid model development.
Automation and Reliability Engineering: Build Infrastructure as Code (IaC), CLI tools, and CI/CD-driven automation that make database provisioning, scaling, failover, and deployment self-service, consistent, and repeatable across environments - this is the core of the role, not…
Pure Storage · 3mo ago
As a Data Scientist within the Hyperscale line of business, you’ll lead high-impact hardware and systems analytics initiatives, transforming rich telemetry from Everpure’s FlashArray and FlashBlade hardware and software into rigorous predictive models, causal insights, and…
The Data Platform Core team designs, builds, and maintains scalable data infrastructure that empowers Life360 to make data-driven decisions.
As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end—driving strategy across targeting, funnel optimization, and performance forecasting.
As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace.
Riot Games · 3mo ago
Design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, and other publishing/marketing focused data sets.
This position is needed to advance the consistency & quality of our R&D analytics data layer and accelerate the development velocity of analysts.
Own end-to-end pricing experimentation, from test design through analysis and recommendation. Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products.
Own product analytics for key areas, partnering with Product, Engineering, and Design to define success criteria, tracking requirements, and measurement plans from discovery through launch and optimization.
Build clean software abstractions and modular, reusable components that let us support thousands of pipelines and beyond as we scale. Build and maintain data integration and processing SDKs used by data teams and internal services across Coinbase.
Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time / streaming workloads, contributing to architectural decisions along the way.
We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale.
We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale.
We're looking for a Senior Data Scientist to build and improve the machine learning models behind Mission Lane's credit decisions.
The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across CoreWeave.
We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
As the Data Engineer on the Starlink Enterprise team, you will design and build the commercial operating system that enables the business to scale.
As a data Scientist on Growth Product, you'll own the analytics for the early-life user journey: everything from the moment someone lands on Suno through their first sessions, first songs, and first reasons to come back.
We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
As a Data Engineer for the Public Sector business unit, you will build Scale's analytical and business-intelligence infrastructure.
| Level | Median | Listings |
|---|---|---|
| Mid level | $212k | 7 |
| Senior | $172k | 224 |
| Lead / Staff | $185k | 22 |
Companies hiring: Capital One (83), OpenAI (18), Anthropic (11), Jobgether (11), Roblox (10), Pinterest (8).
Skills in current listings: Python (41), Dbt (23), Airflow (10), Kafka (8), Java (6), Aws (4), AWS (4), Kubernetes (4), Rust (4), Scikit Learn (4), Terraform (4), Docker (2).
