Data Science Architect

Company Description

Simplified IT is a global IT Staffing and Managed Services company. We have been rated top 10 staffing companies in the country for 3 years in a row. We serve technology, financial, auto, logistics & distribution companies across the United States, providing either IT staffing or technology solutions — or both. With decades of experience and a nationwide network of highly qualified, certified IT professionals, our goal is to build a lasting relationship with each client based on trust and consistent, reliable services.

Job Description

The Data Science Solutions Architect will play a critical role on our Data Science team; focusing on the design, prototype, and architecture of various data science and data products that will live on our Machine Learning Operations (MLOps) platform. This role demands a unique blend of cloud architecture expertise, data and AI/ML knowledge, and leadership skills to successfully deliver enterprise production solutions.

Key Responsibilities 

• ARCHITECTURAL DESIGN & LEADERSHIP: Design, prototype and implement scalable, reliable, and efficient Data Science products (including data architectures and pipelines to support advanced analytics and machine learning models) in collaboration with Data Scientists and stakeholders
• SOLUTION DEVELOPMENT: Collaborate with stakeholders to understand business requirements, translating them into data science solutions that drive business value
• TECHNOLOGY EVALUATION: Evaluate and recommend tools, technologies, and platforms to enhance data processing, storage, and machine learning capabilities in alignment with both in-flight and future MLOPS platform roadmap and Responsible AI requirements
• INTEGRATION: Ensure seamless integration of data science solutions with existing systems, databases, and applications
• BEST PRACTICES: Develop and enforce best practices for data management, analysis, and modeling; ensuring high-quality, reproducible, and maintainable solutions.
• CROSS-FUNCTIONAL COLLABORATION: Work closely with data scientists, data engineers, machine learning engineers, software developers, cloud engineers, product managers, and business analysts to deliver end-to-end solutions that are aligned with organizational objectives
• DOCUMENTATION: Create comprehensive documentation of data architectures, solution designs, and implementation processes
• MONITORING & PERFORMANCE OPTIMIZATION: Continuously monitor and optimize data pipelines and models for performance and scalability; taking into account explainability, data drift detection, and fairness metrics
• INNOVATION: Stay current with industry trends, emerging technologies, and best practices in data science and analytics.
• Performs other duties as assigned
• Practices and adheres to the "Code of Conduct" philosophy and "Mission and Value Statement."
• Typical workweek hours can vary depending on workload and project deliverables.

Education & Experience 

Bachelor Degree

Masters/PhD Degree

Knowledge, Skills, Abilities, Behaviors:

REQUIREMENTS

• 6+ years of overall experience in the technology or data field with demonstrated progressive responsibilities, particularly in data and AI/ML-related work
• Proficient in engineering and coding skills in Python and SQL
• Expertise in cloud solutions is essential. 
• Strong background in AI/ML or Data Sciences technologies and delivery
• Great multi-disciplinary knowledge of technology space (data, cloud, UI, security)
• Excellent communication, leadership, and project management skills
• Healthcare domain knowledge and experience
• Experience in Google Cloud Platform (GCP)
• Experience designing cloud solutions for streaming and batch data science work

Travel Required

Additional Information

All your information will be kept confidential according to EEO guidelines.