> Markdown version of [/jobs/ext/1458170-data-scientist](https://www.wearedevelopers.com/jobs/ext/1458170-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:** Pinterest - **Location:** Redondo Beach, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $288,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Data Validation, Python (Programming Language), Scala (Programming Language), Apache Spark, Information Technology, Tools for Reporting, Apache Beam - **Published:** July 27, 2026 - **Apply:** https://www.workingnomads.com/job/go/1755514/ ## About the Role * Ability to write and review production-level code in Python. * Strong statistics and ML fundamentals. * Desire to work in a fast-growing environment-comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process. * Experience defining and measuring the utility of new reporting and analytics tools. * Ability to quickly translate between DS Analytics & DS Product team. * Strong track record of providing high-quality service to the DS team's customers/stakeholders. * Adtech or CTV experience. * Bachelor's degree in computer science, statistics, a related field or equivalent experience. * Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus. * Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs * Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review) * High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity) ## Related Articles - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)