Extreme Networks is looking to solve the problem of developing and operationalizing AI/ML models to power predictive insights and automated narratives for business stakeholders across all functions, primarily aligned to Sales, Sales Ops, Marketing, and Finance.
Requirements
- 3+ years of hands-on experience in advanced analytics, data science, or AI model development
- 2+ years of experience with more than 1 database system, such as Redshift, Azure Synapse, BigQuery, Oracle, SQL Server, MySQL, Snowflake
- 2+ years of experience with more than 1 analytics/visualization tool, such as PowerBI, Tableau, Looker, Sigma Computing, or other BI reporting layers
- Strong proficiency in building and deploying predictive models (classification, time-series forecasting, regression, anomaly detection)
- Deep expertise in Python, SQL, Snowflake, data pipeline development, and designing and maintaining dbt models
- Functional experience implementing a variety of data warehousing concepts and methodologies, including snapshotting, incremental data loads, SCDs, and star schemas
- Experience with managing the ingestion and modeling of business application data sources: Salesforce, Oracle Suite (EBS, Fusion, HCM), and Jira
Responsibilities
- Develop AI/ML models to generate predictive insights across a range of business functions
- Build and optimize AI-driven capabilities for 'Ask EDNA', supporting a search-like capability for metrics, dashboards, ad-hoc generation of metrics, and natural-language responses to business questions
- Design and develop visualizations that present forecasted results and correlations
- Build statistical correlation models leveraging 3rd party data to provide insight into sales and revenue trends benchmarked against external factors
- Collaborate with cross-functional teams to understand forecasting and analytics requirements and rapidly translate them into production-ready AI solutions
- Design, implement, and maintain scalable data pipelines and feature engineering workflows using Snowflake and dbt
- Ensure data quality, feature robustness, and model reliability through structured experimentation, model validation, and performance monitoring
Other
- Highly self-motivated and able to work independently as well as in a team environment
- Ability to clearly communicate complex project execution plans and technical ideas to both technical and business stakeholders
- Comfort in working within an agile team, leveraging DevOps concepts and agile-enablement tools including Jira, Confluence, and Github
- Ability to work in a fast-paced, high-visibility environment with minimal supervision
- Bachelor's degree or higher in a relevant field (not explicitly mentioned but implied)
