Cisco Meraki is revolutionizing the way IT administrators manage their infrastructure by providing simple and secure cloud-managed solutions! With a large install base of customers and rich, multi-dimensional data sets, the potential for data analytics to improve business performance for both our customers and our own business is enormous.
Requirements
- 8+ years of Data Science and AI experience for software products, e.g. networking software, online shopping, social site, streaming services, gaming, etc.
- Minimum of 4+ years of experience of building and retaining a high-performance and diverse Data Science and AI team in a formal capacity
- 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.)
- 5+ years of experience in Networking Product domain
- 5+ years of experience lead technical decisions and design discussions
Responsibilities
- 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
Other
- Masters/PhD in Statistics, Operation Research, Applied Mathematics, Economics, Computer Science, or a quantitative field preferred.
- 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
- LI-Remote
