> Markdown version of [/jobs/ext/2211046-data-scientist-data-engineer-ai-gtm-analytics](https://www.wearedevelopers.com/jobs/ext/2211046-data-scientist-data-engineer-ai-gtm-analytics). 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 | Data Engineer (AI & GTM Analytics) - **Company:** Cisco Systems, Inc. - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Tensorflow, Sql Optimization, Snowflake, Apache Spark, Model Validation, Generative AI, Information Technology, Data Analytics, Integration Frameworks, Splunk, Data Pipelines, Cisco, Alteryx - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecirlpmoy ## About the Role * 8+ years of experience in Data Science, Machine Learning, or Advanced Analytics within the technology industry. * Strong expertise in Python or R, machine learning, predictive modeling, and AI frameworks such as TensorFlow. * Advanced proficiency in data engineering, including building robust ETL/ELT processes and managing data workflows. * Advanced SQL skills with hands-on experience using Snowflake, Hadoop, Apache Spark, or similar big data platforms. * Experience building and managing scalable ETL processes and data pipelines using tools such as Alteryx or equivalent. * Master's degree or PhD in Data Science, Computer Science, Statistics, Analytics, or a related quantitative discipline., * Experience supporting GTM, Sales Analytics, Revenue Operations, or Marketing Analytics initiatives. * Proven experience leading projects and mentoring data science and data engineering teams. * Strong executive communication and storytelling skills, translating technical insights into business recommendations. * Knowledge of Responsible AI principles, AI governance, and emerging AI technologies, including Generative AI. * Ability to thrive in a fast-paced, highly collaborative, cross-functional global environment. ## Description You will be a hands-on leader driving the development of advanced AI and machine learning solutions and the underlying data architecture that drives strategic GTM business outcomes across Cisco and Splunk. You'll work with executive stakeholders and cross-functional teams to solve complex business challenges, build predictive models, engineer high-performance data pipelines, and enable data-driven GTM strategies that influence customer acquisition, product adoption, and revenue growth., * Design, build, and deploy predictive models and AI/ML solutions that support GTM strategy and business growth. * Develop propensity models and advanced analytics to enable targeted account selling and intelligent sales motions. * Architect, build, and optimize scalable backend data pipelines and integration workflows to ensure high-quality, reliable, and performant data infrastructure. * Lead the design and implementation of efficient data modeling strategies to support large-scale, high-velocity enterprise data. * Partner with Sales, Marketing, Product, Customer Success, and Operations to identify high-impact opportunities and deliver actionable insights. * Build and optimize scalable data pipelines, ensuring high-quality, reliable data infrastructure. * Lead innovation by introducing modern AI techniques, data engineering best practices, and analytical methodologies. * Mentor and guide junior data scientists and analysts while promoting technical excellence. * Present complex analytical findings and strategic recommendations to senior executives. * Ensure analytical rigor, model validation, and responsible AI practices across all solutions. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Computer Vision from the Edge to the Cloud done easy](https://www.wearedevelopers.com/videos/263-computer-vision-from-the-edge-to-the-cloud-done-easy) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Your Infrastructure Is Not a Playground: AI Agents for Infra Done Right](https://www.wearedevelopers.com/videos/2084-your-infrastructure-is-not-a-playground-ai-agents-for-infra-done-right) ## Related Articles - [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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)