Fortinet · 4 months ago
Staff Data Scientist, Product Efficiency & Data Infra
Fortinet is seeking a highly skilled Staff Data Scientist to join their Product Workload & Efficiency Engineering team. This role focuses on leveraging advanced data science techniques to drive insights, optimize product workloads, and enhance infrastructure efficiency.
Cyber SecurityMobileNetwork SecuritySecurity
Responsibilities
Partner with product, engineering, finance, sales, and customer success teams to model and forecast product workloads, define metrics, and build tools for planning
Design experiments and studies to reduce uncertainty in workload forecasts and optimize product/revenue flows
Analyze data to address business questions, generate insights using statistical methods, and present findings to stakeholders
Architect data models, pipelines, and applications to support workload data, finance and infrastructure teams
Develop and productionize metrics and dashboards for system availability, reliability, and performance
Conduct root cause and causal inference analyses of availability issues, recommending remediations
Shape data science areas like segmentation, recommendation systems, forecasting, and cost prediction
Analyze product usage to identify growth drivers and improvement opportunities
Manage stakeholders, define project OKRs, and communicate results effectively
Mentor team members and champion evidence-based decision-making with self-service data products
Represent data science across the organization and at conferences
Qualification
Required
Bachelor's or higher in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering)
8 -10+ years in analytics driving business decisions (e.g., product/marketing analytics, business intelligence)
Proven ability to work independently and engage stakeholders proactively
Expertise in SQL, large datasets (e.g., Hadoop), statistical analysis, and techniques like regression
Experience with optimized data formats for analytics, such as Parquet, and potentially Apache Iceberg
Expertise in defining schemas, managing metadata, and crawling data sources
Proficiency in writing complex SQL queries to analyze data stored in S3-based data lakes
Integrate dbt with orchestration tools like Apache Airflow to automate, schedule, and monitor data pipelines that feed machine learning models
Proficiency in Python
strong communication skills
Preferred
7+ years in data science/ML in high-growth tech
expertise in system reliability metrics
data pipelines (e.g., Airflow, Spark)
familiarity with product analytics
strong coding (e.g., Python) and cross-functional collaboration skills
BS/MS/Ph.D. in quantitative field
Benefits
Medical
Dental
Vision
Life and disability insurance
401(k)
11 paid holidays
Vacation time
Sick time
Comprehensive leave program
Fortinet equity program
Company
Fortinet
Fortinet is a provider of network security appliances that include firewalls, security gateways, and complementary products. It is a sub-organization of Fortinet Federal.
H1B Sponsorship
Fortinet 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 (200)
2024 (152)
2023 (155)
2022 (175)
2021 (139)
2020 (161)
Funding
Current Stage
Public CompanyTotal Funding
$89MKey Investors
Meritech Capital PartnersDEFTA Partners
2009-11-18IPO
2004-03-03Series Unknown· $50M
2003-08-29Series D· $30M
Recent News
dcm.com
2025-12-31
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