> Markdown version of [/jobs/ext/2706975-data-scientist](https://www.wearedevelopers.com/jobs/ext/2706975-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# data scientist

- **Company:** MrBeastYoutube, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Infrastructure, Operational Databases, Data Streaming, Google Cloud, Snowflake, Event Driven Architecture, Data Pipelines, Databricks
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/data-engineer-mrbeast-9838731

## About the Role

AI-Native: You're already using AI tools daily to move faster, from writing pipeline code to diagnosing data quality issues.
Data Platform Builder: 3+ years building and operating production data pipelines for high-volume consumer products, with hands-on experience in event instrumentation, schema design, and data quality at scale.
Business Connected: You don't wait for a data scientist to tell you what the pipeline should do. You understand the product well enough to translate vague requirements into robust pipeline design, and you can tell the difference between what someone asked for and what they actually need.

Operational and Analytical Thinker: You understand that operational telemetry and analytics serve different purposes and require different approaches, and you design accordingly.
Strong experience with streaming and batch data pipelines, event-driven architectures, and at least one major cloud data stack (AWS, GCP, Databricks, Snowflake, or equivalent). Bonus points for experience in consumer products, media, gaming, or ads, familiarity with sessionization and identity stitching at scale, and prior work alongside data science or product analytics teams.

## Description

Operational telemetry that keeps the platform healthy and a separate, well-designed analytics layer that powers product and business decisions.
A data platform that supports real-time monitoring, long-term metric tracking, and the experimentation infrastructure that every product iteration depends on.
Event pipelines that handle high-volume user events with the right instrumentation contracts, schema validation, deduplication, late-arriving event handling, and identity stitching.

What You'll Do
Own, build, and operate the telemetry data pipeline that powers SRE and operational monitoring, ensuring real-time data freshness, reliability, and observability across all production systems.
Own, build, and operate the analytics data pipeline that supports product and user experience analysis, including event instrumentation, schema design, data quality checks, deduplication, late-arriving event handling, and identity stitching at scale.
Partner with data science, product, and SRE stakeholders to translate requirements into pipeline design, including cases where the requirements are vague and need to be shaped before implementation.
Embed AI tooling into the data engineering workflow to accelerate pipeline development, data quality monitoring, and insight delivery.


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean)
- [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)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Top Tech YouTube Channels for Developers in 2023](https://www.wearedevelopers.com/magazine/261-top-tech-youtube-channels-for-developers-in-2023)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)