Koah Logo

Koah

Data Scientist

Reposted 2 Months Ago
Remote or Hybrid
Hiring Remotely in United States
180K-250K Annually
Entry level
Remote or Hybrid
Hiring Remotely in United States
180K-250K Annually
Entry level
Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.
The summary above was generated by AI

Who We Are

Koah Labs is building the ad network to power the next generation of AI-native products. Our mission is to help publishers monetize and help advertisers reach the right audience — without compromising speed, UX, or privacy.

We’re a small, tight-knit team in San Francisco with backgrounds at X, Apple, Meta, and early-stage startups. We’ve raised from top investors and are growing fast with real traction on both the publisher and advertiser sides.

Working at Koah means joining at the ground floor: you’ll ship code that shapes the company and the ecosystem we’re building. We move quickly, operate with high trust, and care deeply about craft.

Our Stack

  • Infra: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, Cloudflare

  • Data: PostgreSQL, ClickHouse, Redis, Kafka, Python

  • Core Application: Ruby on Rails, React, TypeScript

  • SDKs: iOS, Android, Web, Flutter, React Native

In this role, you will

  • Sit within product engineering and help drive product decisions using data and causal reasoning

  • Design, implement, execute experiments and analyze results

  • Help level-up all of engineering, encouraging data driven decisions and a deep understanding of the important metrics that drive our business forward

  • Use rigorous statistical thinking and hands-on modeling to turn our rich marketplace data into tools that directly shape product decisions and key insights

You might be a fit if

  • You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field

  • You enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact

  • You have a relentless focus on continuous learning and making an impact with an ability to question the status quo

  • You have strong mathematical and statistical modeling skills

  • You enjoy communicating conclusions to both technical and non-technical audiences alike

Similar Jobs

Yesterday
Easy Apply
Remote
United States
Easy Apply
86K-176K Annually
Mid level
86K-176K Annually
Mid level
Cloud • Security • Software • Cybersecurity • Automation
The Data Scientist will partner with Sales, Revenue Operations, and Finance to analyze GTM performance, build and productionize machine learning models, conduct experiments, forecast outcomes, and identify growth opportunities. Responsibilities include statistical analysis, causal inference, Python and SQL development, MLOps, agentic workflow automation, semantic-layer contributions, executive reporting, and communicating insights to nontechnical stakeholders in a fully remote environment.
Top Skills: Ai Coding AgentsCi/CdClaude CodeGitlabHexJupyterLightgbmLookerMachine LearningMlflowMlopsNumpyOpencodePandasPythonScikit-LearnSemantic LayerSnowflakeSQLTableauXgboost
8 Days Ago
Easy Apply
In-Office or Remote
IN, USA
Easy Apply
110K-150K Annually
Junior
110K-150K Annually
Junior
Healthtech • Information Technology • Mobile • Productivity • Software • Analytics • Telehealth
Analyze clinician platform data to identify behavioral patterns, develop product and client-facing analytics, and communicate actionable insights. The role collaborates with product managers, analysts, engineers, and other data scientists on projects spanning data ingestion, analysis, and recommendations. Responsibilities also include contributing to data team strategy and applying statistical methods, SQL, Python data libraries, visualization, and distributed data processing techniques.
Top Skills: SparkNumpyPandasPythonSQL
12 Days Ago
Remote or Hybrid
OH, USA
Senior level
Senior level
Financial Services
Leads data science for the American Dream Initiative by developing customer outcome metrics, financial health indicators, personas, automated reporting, OKR frameworks, and experimentation programs. Integrates large-scale data, performs analyses and modeling using SQL and Python, and delivers executive-ready insights for targeting, personalization, and customer engagement. Partners cross-functionally, mentors team members, and ensures responsible analytics, compliance, and model-risk practices.
Top Skills: A/B TestingBig-Data EnvironmentsData VisualizationPower BIPythonRSQLStatistical AnalysisTableau

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account