> Markdown version of [/jobs/ext/2835699-principal-data-science-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/2835699-principal-data-science-analytics-engineer). 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). --- # Principal Data Science & Analytics Engineer - **Company:** Verizon Communications Inc. - **Location:** Bernards, NJ, United States (Remote available) - **Experience:** Experienced - **Salary:** $120,500.0 - $231,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, BigQuery, Data Files, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, SQL Databases, Google Cloud, Google Data Studio, Information Technology, Qlikview, Data Management, Looker Analytics, Programming Languages - **Published:** September 10, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88289365/1 ## About the Role With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria, allows you to deliver solutions that make a huge impact. You're able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers., * Bachelor's degree or four or more years of work experience. * Six or more years of relevant work experience. * Experience in data management, analysis and visualization. * Expertise with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro) * Experience in Looker & Qlik or similar visual analysis tool. Hands-on experience working with enterprise-scale datasets, with a focus on optimizing query performance and dashboard responsiveness. * Experience with data modeling using LookML in the Looker platform. * Experience as a data scientist, analyst, or statistical modeler. * Experience with the programming language SQL. * Experience in designing, developing and implementing ETL processes. * Experience leveraging AI tools like Claude, Antigravity, and CO-Pilot Even better if you have one or more of the following: * A master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research. * A passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating presentations and storyboards that captivate and succinctly convey complex ideas to our strategic business partners. * Demonstrated knowledge of Digital Channel metrics and data domain principles. * Experience in visual science/dashboard design principles. * Experience in applying statistical ideas and methods to data sets to answer business problems. * Experience with programming languages, like Python, JS, or R. * Experience with Machine Learning algorithms and tools. ## Description Where you'll be workingIn this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [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 - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)