Data Scientist​/Data Architect

Overview

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. Data Direct Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

"DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC

“The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA

DDN is the global leader in AI and multi-cloud data management  cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.

DDN is the global leader in AI and data intelligence infrastructure, powering many of the world's most demanding AI, HPC, and data-intensive environments. Our customers include leading enterprises, research institutions, government agencies, and AI innovators that rely on DDN technology to accelerate discovery, innovation, and business outcomes.

We are seeking a highly motivated Data Scientist / Data Architect to join our team and help shape the future of data-driven products, AI platforms, and enterprise analytics. This role combines data science, machine learning, data engineering, and enterprise architecture to deliver scalable solutions that transform data into strategic business value.

Position Summary

As a Data Scientist / Data Architect, you will work at the intersection of AI, data platforms, cloud infrastructure, and business strategy. You will design and implement modern data architectures while developing analytics and machine learning solutions that support operational excellence, customer success, product innovation, and business growth.

The ideal candidate combines strong technical depth in data science and architecture with the ability to engage stakeholders, translate business requirements into technical solutions, and drive projects from concept through production deployment.

Key Responsibilities

Data Science & Analytics

• Develop machine learning and AI solutions to solve business and operational challenges.
• Design, build, validate, and deploy models for forecasting, anomaly detection, customer analytics, capacity planning, and product intelligence.
• Apply statistical analysis and experimentation techniques to generate actionable insights.
• Develop dashboards, visualizations, and executive-level reporting to communicate findings and recommendations.
• Monitor model performance and support continuous improvement initiatives.
• Partner with business stakeholders to define key metrics, KPIs, and success measures across products and operations.

• Design scalable enterprise data architectures supporting structured, semi-structured, and unstructured data workloads.
• Define data models, metadata standards, governance frameworks, and architectural best practices.
• Architect modern data platforms leveraging cloud, hybrid-cloud, lakehouse, and distributed data technologies.
• Establish data integration strategies across CRM, ERP, product usage, support, operational, and business systems.
• Build scalable ETL/ELT pipelines and data services that support analytics and AI workloads.
• Drive adoption of data quality,…