Data Scientist, Data Architect

DDN

Data Scientist / Data Architect designing scalable solutions at DDN, the global leader in AI and data intelligence infrastructure. Collaborating on data-driven products and business strategy.

Posted 6/22/2026full-timeRemote • California • 🇺🇸 United StatesSeniorLead💰 $215,000 - $265,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudDistributed SystemsERPETLKubernetesPythonSparkSQL

About the role

Key responsibilities & impact

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, lineage, security, privacy, and compliance standards
Partner with product, engineering, and business leaders to identify high-value AI and analytics opportunities
Build reusable data products, semantic layers, and self-service analytics capabilities
Support AI initiatives involving LLMs, RAG architectures, vector databases, and enterprise knowledge systems
Collaborate with software engineering teams to operationalize analytics and AI capabilities in production environments
Contribute to the development of intelligent platform features that improve customer experience and operational efficiency
Serve as a trusted advisor on data strategy, architecture, and analytics best practices
Lead technical design reviews and architecture discussions
Mentor data scientists, data engineers, and analysts
Partner with stakeholders across Product, Engineering, Operations, Customer Success, Finance, and Executive Leadership
Communicate technical concepts and recommendations to both technical and non-technical audiences.

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field
8+ years of experience in data science, data architecture, analytics engineering, or related disciplines
Strong proficiency in Python and SQL
Experience building and deploying machine learning models in production environments
Deep understanding of data modeling, ETL/ELT pipelines, and modern data platform architectures
Experience with cloud platforms such as AWS, Azure, or Google Cloud
Hands-on experience with distributed data processing technologies such as Spark, Databricks, Snowflake, BigQuery, or equivalent platforms
Strong knowledge of statistics, experimentation, forecasting, and predictive analytics
Excellent communication and stakeholder management skills
Experience working with AI platforms, cloud infrastructure, SaaS products, or large-scale distributed systems
Experience with MLOps, DataOps, CI/CD, and model lifecycle management
Familiarity with vector databases, retrieval systems, LLMs, and generative AI architectures
Experience with Kubernetes, containerized environments, and cloud-native platforms
Knowledge of data governance, security, privacy, and regulatory frameworks
Experience leading enterprise-scale data transformation initiatives.

Benefits

Comp & perks

Health insurance
401k retirement plan
Paid time off
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningAI solutionsstatistical analysisdata modelingETLELTPythonSQLdata architecturepredictive analytics

Soft Skills

communicationstakeholder managementmentoringcollaborationleadershipproblem-solvingstrategic thinkingtechnical design reviewadvisory skillscontinuous improvement

Certifications

Bachelor's degreeMaster's degree