Data Science and ML

The commercial success of data science and enterprise AI projects often depends on domain expertise, at least as much as on statistical and machine learning skills. Grid Dynamics has experts, blueprints, and starter kits that are laser-focused on specific business functions, such as marketing and supply chain, and industries, such as retail, manufacturing, and finance.

At Grid Dynamics, we are highly focused on delivering business value to our clients in a predictable way. We have developed unique ROI models to streamline typical data science engagements and created reference implementations that enable us to evaluate multiple standard models and techniques promptly.

We have spent more than a decade building a global network of data engineering and data science professionals. This enables us to staff data science projects rapidly, involve top talent, and provide our clients with flexible options regarding the location and composition of engineering and consulting teams.

Solid reference implementations, global engineering networks, and experience with multiple industry and enterprise domains, enables us to develop and deliver prototypes and minimum viable products (MVPs) in a matter of weeks. We readily offer proof-of-concept events for the toughest problems.

We have worked with S&P 500 companies on the most challenging engineering and data-related problems for more than a decade. We offer unique insight into the state of the industry, world-class best practices, and development methods used by the leading and most innovative companies across the globe.

We invest heavily in researching enterprise AI problems, studying how the latest deep learning, reinforcement learning, computer vision, and other technologies can be applied to marketing, supply chain, manufacturing, and IT use cases. This effort, combined with our unique industrial experience, helps us to deliver truly innovative and highly efficient solutions.