Job DescriptionWe are seeking a highly skilled Staff Data Scientist to join our Product Workload & Efficiency Engineering team. This role will focus on leveraging advanced data science techniques to drive insights, optimize product workloads, and enhance infrastructure efficiency. The ideal candidate is a strategic thinker with a strong technical background, exceptional communication skills, and a proven track record of delivering data-driven solutions in a fast-paced environment.
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.
Minimum Requirements - 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 and strong communication skills.
Ideal: 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.
Join us to drive innovation and impact through data science!
The US base salary range for this full-time position is $190,000-$230,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program.
Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.
All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion.
Why Join Us:
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being.
Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.
About UsFortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government organizations around the world. Fortinet empowers its customers with intelligent, seamless protection across the expanding attack surface and the power to take on ever-increasing performance requirements of the borderless network - today and into the future. Only the Fortinet Security Fabric architecture can deliver security without compromise to address the most critical security challenges, whether in networked, application, cloud or mobile environments. Fortinet ranks number one in the most security appliances shipped worldwide and more than 500,000 customers trust Fortinet to protect their businesses.We are committed to providing reasonable accommodations for all qualified individuals with disabilities. If you require assistance or accommodation due to a disability, please contact us at Fortinet is an equal opportunity employer. We value diversity in our company, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, military/veteran status or any other applicable legally protected characteristics in the location in which the candidate is applying. 
Never miss an opportunity! Create an alert based on the job you applied for.
