Silicon Valley Data Science (SVDS) was a big data and data science consulting firm founded in 2013 to bring Silicon Valley–style data-driven innovation to large enterprises. The company specialized in combining data strategy, advanced analytics, and modern data engineering to help organizations use data as a strategic asset. SVDS worked across industries including retail, financial services, healthcare, technology, media, and industrials, building platforms and models that addressed customer retention, digital engagement, fraud, operations, and more.
SVDS’s services were organized around three core pillars: Data Engineering, Data Science, and Advisory Services. On the engineering side, the firm designed and implemented scalable data platforms using technologies such as Hadoop, Spark, Cassandra, and modern cloud infrastructure. Its data science teams built predictive models, machine learning pipelines, and experimentation frameworks to power use cases like customer segmentation, churn prediction, recommendation, and real-time decisioning. Advisory offerings focused on data strategy, data governance, cloud strategy, and data maturity assessments, producing roadmaps that tied technical investments directly to business outcomes.
The firm positioned itself not as a traditional systems integrator but as a high-caliber, agile team that could rapidly prototype solutions, validate technology choices, and then harden those prototypes into production-ready systems. SVDS invested heavily in thought leadership around modern data platforms, Spark, Hadoop, and data governance, speaking at major industry conferences and publishing extensive technical content. It also partnered with GSVlabs to launch Silicon Valley Data Academy, an immersive program to train enterprise-class data engineers and data scientists, further cementing its role in the data ecosystem.
SVDS operated from April 2013 through December 2017, during which it raised approximately $4.5M in venture funding. In late 2017 and early 2018, Apple hired much of SVDS’s core technical team, including key founders and leaders, and the consulting business was wound down. While the company no longer takes on new clients, its website remains online as an archive of blog posts and case studies that continue to be referenced by data professionals.