Staff Data Scientist, Product Efficiency & Data Infra jobs in United States
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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
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Comp. & Benefits
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H1B Sponsor Likelynote

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

Data ScienceSQLStatistical AnalysisPythonData PipelinesHadoopData ModelingStakeholder EngagementCommunication SkillsMentoring

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

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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 Company
Total Funding
$89M
Key Investors
Meritech Capital PartnersDEFTA Partners
2009-11-18IPO
2004-03-03Series Unknown· $50M
2003-08-29Series D· $30M

Leadership Team

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Ken Xie
Founder and Chief Executive Officer
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Michael Xie
Founder, President & CTO
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Company data provided by crunchbase