9 month contract
LOCATION: US Remote. No sponsorship eligible, must be able to pass I9, education, work and background verifications.
COMPENSATION: $75-95 an hour. 1099.
SPONSORSHIP: NOT available
Position Overview
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.
Requirements
- Bachelors, Masters, or PHD in Computer Science, or related engineering field
- 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
We are an equal opportunity employer and is committed to diversity and inclusion in the workplace.