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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Enigma Technologies, Inc. - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Salary:** $180,000.0 - $295,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Big Data, Apache Hive, Python (Programming Language), Machine Learning, Apache Spark, Pyspark, Information Technology, Data Pipelines, Databricks - **Published:** September 19, 2026 - **Apply:** https://job-boards.greenhouse.io/enigmaio/jobs/8213483 ## About the Role * Brings 6-8+ years of industry experience in statistics, experiment design, and distributed machine learning, with a track record of using it creatively to deliver customer impact. * Has experience as a tech lead or as a mentor to other data scientists. * Holds strong opinions and defends them, but is open-minded to other perspectives and approaches. Disagrees openly, commits completely, and never lets a debate cost the team its momentum. * Communicates effectively with technical and non-technical audiences. * Can't leave a data problem alone until it's right. Learns fast, ships fast, and would rather put something real in front of customers this month than something perfect next year. * Takes a principled, metrics-driven approach to solving complex data problems. * Holds an advanced degree in a quantitative discipline (e.g. Computer Science, Mathematics, Physics), or has equivalent industry experience., * Have built data products in the entity resolution, sales, marketing, KYB, or credit underwriting space. * Have prior experience in Python, Spark, and Databricks. * Have prior experience working with large and complex data pipelines. ## Description Data is at the core of Enigma's product, which makes data science the beating heart of what we ship. As a Data Scientist on the Entity Resolution Team, you will work in a cross-functional team alongside other data scientists, engineers, and business stakeholders. You will own problems end to end-from raw source data, through models and scalable pipelines, to the customer interface. Your impact will be measured by the contributions you make with your team to improve the accuracy of our data and the value of our product to our customers., * Translate customer goals into working solutions, using large-scale data transformation, sound statistics, and high-quality code. Most of our work is in Databricks (both Spark SQL + PySpark), supported by statistical tooling, and by ML/AI where the problem calls for it. * Set a high standard for rigorous analysis and model development, grounded in sound statistical practice, so that results are high-quality and reproducible. * Treat data as a reflection of the real world, and develop repeatable strategies for validating results against ground truth. * Develop techniques to detect gaps in our data, find the source, and close them in a way that improves the product. * Apply a data-focused, first-principles approach to problem solving. We value people who bias toward simple and elegant solutions, but who can implement state-of-the-art models and techniques when the problem requires it ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## 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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)