Extreme Networks · 10 hours ago
Data Science Engineer, Lead Analyst, Enterprise Data & Analytics
United States
Full-time
Remote
Mid, Senior Level
$110K/yr - $125K/yr
3+ years expExtreme Networks is a global networking leader that provides cloud-driven networking solutions. The Data Science Engineer, Lead Analyst will develop and operationalize AI/ML models to generate predictive insights and support business stakeholders across various functions.
Communication HardwareComputerInformation TechnologyInternet of ThingsNetwork Hardware
Responsibilities
Develop AI/ML models to generate both (1) predictive insights across a range of business functions, including, but not limited to, sales funnel forecasts, inventory drawdowns, back-end rebates, commissions, opportunity scoring, and “sales in” revenue, and (2) insight narratives to support executive summaries
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, e.g. market trends, tariffs, etc
Collaborate with cross-functional teams (Sales Operations, Finance, Marketing, Analytics) 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
Partner with peer members of the Analytics team in support of developing the end-to-end analytics solution using a modern technical stack, e.g. Snowflake, DBT, Fivetran, Informatica, Sigma
Assist in roadmap and planning activities to scope the level of effort for near- and long-term projects
Provide technical leadership in data science architecture and modeling best practices, AI enablement, and AI security and governance considerations
Independently manage personal backlog of work based on team’s priority, with escalation of interdependencies, collaboration opportunities, and potential blockers
Provide updates on progress, risks and mitigation strategies, milestones, and outcomes through the various agile meetings, including stand-ups, planning, refinement, and stakeholder readouts
Qualification
Required
Highly self-motivated and able to work independently as well as in a team environment
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
Can be highly flexible in adapting to the needs of the team and organization
Comfort in working within an agile team, leveraging DevOps concepts and agile-enablement tools including Jira, Confluence, and Github
Ability to clearly communicate complex project execution plans and technical ideas to both technical and business stakeholders, with demonstrated written and verbal presentation skills to present compelling recommendations
Comfortable working in a fast‑paced, high‑visibility environment with minimal supervision
Preferred
Experience is a plus in (1) managing the ingestion and modeling of the following business application data sources: Salesforce, Oracle Suite (EBS, Fusion, HCM), and Jira, and (2) supporting analytical requirements for Sales, Finance, or Marketing teams
Company
Extreme Networks
Extreme Networks provides wired and wireless networking solutions to enhance connectivity for businesses and organizations.
1001-5000 employees
H1B Sponsorship
Extreme Networks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22)
2024 (22)
2023 (25)
2022 (26)
2021 (23)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
$17.3MKey Investors
Kleiner Perkins
1999-04-09IPO
1997-05-08Series B· $12.3M
1996-05-01Series A· $5M
Leadership Team
Edward Meyercord
Chief Executive Officer, President and Director
Nabil Bukhari
President, AI Platforms and Chief Technology Officer
Recent News
2025-12-24
2025-11-27
Company data provided by crunchbase