Senior Data Architect
Critical Software
Cloud
Senior Manager, Data Science
Cisco Meraki
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $192,500 - $264,000 per year
Job Level
Senior
Tech Stack
Cloud
About the role
- Identify opportunities in AI, define strategies for AI use cases, and own the roadmap aligning with broader organizational goals with Product Management, Product Engineering, and UX
- Oversee the design, development, and deployment of AI/ML solutions for various business domains through all stages of the ML workflow, including data ingestion, model building, and model operations
- Work with partners across organizations to improve data infrastructure, enrich dataset and improve data quality to support ML solutions at scale
- Engage effectively with Product and Engineering leaders to identify and deliver customer-centric strategic analysis to find opportunities and support key Application domain product and business initiatives beyond the scope of supporting reactive requests
- Demonstrate the ability to lead, manage, and inspire a team of Data Analysts, Data Scientists, and Machine Learning Engineers toward project objectives and strategic goals
Requirements
- 8+ years of Data Science and AI experience for software products
- Minimum of 4+ years of experience of building and retaining a high-performance and diverse Data Science and AI team in a formal capacity
- Masters/PhD in Statistics, Operation Research, Applied Mathematics, Economics, Computer Science, or a quantitative field preferred
- Demonstrated leadership across managing high visibility projects and solve problems quickly with minimal oversight
- Outstanding background in Machine Learning with hands-on experience in building and implementing large-scale ML models
- Familiar with ML modeling techniques (e.g., deep learning, gradient boosting, graph, NLP / LLM, regression, clustering etc.)
- Strong written and oral presentation skills and able to communicate sophisticated concepts to various audience
- Attention to details and balance operation and strategic perspective of running Data Science and AI organization
