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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - Embedded Insights - **Company:** Plaid Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $190,800.0 - $262,800.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, Customer Data Management, Data Mining, Data Visualization, Monitoring of Systems, Python (Programming Language), Machine Learning, Information Technology, Data Pipelines - **Published:** September 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c4af4e94bc5d1de2 ## About the Role * 6+ years of industry experience in Data Science or a related analytics role. * Deep familiarity with SQL and data visualization tools. * Understanding of modern machine learning techniques, such as classification, clustering, and optimization. * Experience evaluating model performance, identifying opportunities for improvement, and connecting technical results to business outcomes. * Proven ability to tailor analytical solutions to business problems while working with cross-functional partners. * Ability to code and iterate independently in Python, particularly for exploratory data analysis. * Strong written and verbal communication skills, including the ability to explain analytical methods, tradeoffs, and recommendations to technical and non-technical audiences. * Experience building or partnering on data pipelines using dbt or Airflow is a plus. * Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field. ## Description At Embedded Insights, we find the best machine learning opportunities for external products and internal systems, and collaborate with cross-functional partners to bring them to life. We are a central team of Machine Learning Engineers and Data Scientists. We embed with partner teams to build and apply machine learning models that improve internal decision-making and power the Plaid product suite. About the Role You will be the first Data Scientist on the Embedded Insights team, part of Plaid's Data organization. You will establish the analytics and metrics backbone for a team supporting a diverse set of internal and external products. You will help drive better decision-making, support machine learning model development, and contribute directly to the health of the Plaid network and the quality of Plaid's products. Your day-to-day work will include: * Analyzing entities across the Plaid network to understand behavior and identify opportunities, anomalies, and risks. * Creating foundational metrics, dashboards, and monitoring systems that provide a clear view of network health and machine learning model performance. * Evaluating the value and performance of machine learning models using customer and internal data. * Identifying opportunities to improve existing models and translating findings into clear, actionable narratives for product and engineering leaders. * Designing experiments, defining success metrics and guardrails, analyzing results, and communicating recommendations to stakeholders. * Analyzing Plaid product and customer data to identify opportunities for product improvement and expansion. * Partnering with cross-functional teams to build reliable data models and analytics workflows. What Excites You * Applying quantitative analysis, data mining, and data visualization to help keep the Plaid network healthy and improve our product suite. * Informing and influencing product and engineering teams through rigorous analysis, thoughtful presentations, and clear recommendations. * Turning ambiguous business questions into structured analytical approaches and measurable outcomes. * Helping shape long-term data science and machine learning roadmaps, including how teams iterate, evaluate, and make decisions. * Establishing analytics practices and frameworks from the ground up as the team's first Data Scientist. * Championing a data-first approach to decision-making across Plaid. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 168: Hacking Postgres, Blocking Meta and Fixing CSS](https://www.wearedevelopers.com/magazine/588-dev-digest-168-hacking-postgres-blocking-meta-and-fixing-css)