Data Scientist/ Data Architect

Data Direct Networks in San Francisco, CA onsite seeks a Data Scientist / Data Architect to design modern data architectures and deliver analytics and AI capabilities across enterprise data platforms.

Responsibilities

• Design and deploy machine learning and AI solutions that address business and operational needs.
• Create, validate, and operationalize models for forecasting, anomaly detection, customer analytics, capacity planning, and product intelligence.
• Apply statistical methods and experimentation to derive actionable insights.
• Develop dashboards, visualizations, and executive reports to communicate findings and recommendations.
• Monitor model performance and contribute to ongoing improvement efforts.
• Collaborate with business stakeholders to establish key metrics, KPIs, and success criteria across products and operations.
• Architect scalable enterprise data systems supporting structured, semi-structured, and unstructured workloads.
• Define data models, metadata standards, governance structures, and architectural best practices.
• Build modern data platforms using cloud, hybrid-cloud, lakehouse, and distributed technologies.
• Establish data integration strategies spanning CRM, ERP, product usage, support, operations, and business systems.
• Develop scalable ETL/ELT pipelines and data services for analytics and AI workloads.
• Promote data quality, lineage, security, privacy, and compliance standards.
• Collaborate with product, engineering, and leadership to identify high-value AI and analytics opportunities.
• Create reusable data products, semantic layers, and self-service analytics capabilities.
• Support AI initiatives including large language models, retrieval augmented generation architectures, vector databases, and enterprise knowledge systems.
• Work with software engineering to operationalize analytics and AI capabilities in production.
• Contribute to intelligent platform features that enhance 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

• 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.
• Solid expertise in Python and SQL.
• Hands-on experience building and deploying machine learning models in production.
• Strong foundation in 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 abilities.
• 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.

Technologies

• Python
• SQL
• Spark
• Databricks
• Snowflake
• BigQuery
• AWS
• Azure
• Google Cloud
• Kubernetes
• Containerized environments
• Vector databases
• LLMs
• RAG architectures

Position Summary

As a Data Scientist / Data Architect, you will operate at the intersection of AI, data platforms, cloud infrastructure, and business strategy. You will design and implement modern data architectures while building analytics and machine learning capabilities that support operational excellence, customer success, product innovation, and growth. The role blends technical depth with the ability to engage stakeholders, translate business needs into technical solutions, and drive projects from concept to production.

Interview Process

• Coding assessment, typically in a language of your choice.
• Systems design exercise translating high level requirements into scalable, fault-tolerant services.
• Live problem-solving session to demonstrate practical capabilities.
• Meet and greet with the broader team.
• Expect the main process to be completed within 2 to 3 weeks.

Location

San Francisco, CA onsite

Compensation

• USD 215,000 - 265,000 per year