Full-Time
Data Scientist
Data Engineer, AI & GTM Analytics
Cisco
10,001+ employees
Networking hardware, security software, collaboration services
No salary listed
Hyderabad, Telangana, India
Hybrid
Hybrid role with on-site presence in Hyderabad, India.
Master's, PhD
 Data & Analytics (2) |
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- 8+ years of experience in Data Science, Machine Learning, or Advanced Analytics within the technology industry.
- Strong expertise in Python or R, machine learning, predictive modeling, and AI frameworks such as TensorFlow.
- Advanced proficiency in data engineering, including building robust ETL/ELT processes and managing data workflows.
- Advanced SQL skills with hands-on experience using Snowflake, Hadoop, Apache Spark, or similar big data platforms.
- Experience building and managing scalable ETL processes and data pipelines using tools such as Alteryx or equivalent.
- Master's degree or PhD in Data Science, Computer Science, Statistics, Analytics, or a related quantitative discipline.
- Design, build, and deploy predictive models and AI/ML solutions that support GTM strategy and business growth.
- Develop propensity models and advanced analytics to enable targeted account selling and intelligent sales motions.
- Architect, build, and optimizescalable backend data pipelines and integration workflows to ensure high-quality, reliable, andperformantdata infrastructure.
- Lead the design and implementation of efficient data modeling strategies to support large-scale, high-velocity enterprise data.
- Partner with Sales, Marketing, Product, Customer Success, and Operations toidentifyhigh-impact opportunities and deliver actionable insights.
- Build andoptimizescalable data pipelines, ensuring high-quality,reliabledata infrastructure.
- Lead innovation by introducing modern AI techniques,data engineering best practices, andanalytical methodologies.
- Mentor and guide junior data scientists and analysts while promoting technical excellence.
- Present complex analytical findings and strategic recommendations to senior executives.
- Ensure analytical rigor, model validation, and responsible AI practices across all solutions.
- Experience supporting GTM, Sales Analytics, Revenue Operations, or Marketing Analytics initiatives.
- Proven experience leading projects and mentoring data science anddata engineeringteams.
- Strong executive communication and storytelling skills, translating technical insights into business recommendations.
- Knowledge of Responsible AI principles, AI governance, and emerging AI technologies, including Generative AI.
- Ability to thrive in a fast-paced, highly collaborative, cross-functional global environment.
Cisco designs and sells networking hardware, software, and services that help organizations connect, protect, and manage data. Its products include networking gear, security solutions, cloud services, and collaboration tools like Webex to support hybrid work. Cisco differentiates itself with a broad, integrated stack—routing and switching, security, cloud, and collaboration—that works together at scale. Its goal is to help customers securely connect people, devices, and applications, enabling reliable communication and digital transformation across enterprises of all sizes.
Company Size
10,001+
Company Stage
IPO
Headquarters
San Jose, California
Founded
1984
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Simplify's Take
What believers are saying
- Cisco booked $9.3 billion in fiscal 2026 AI infrastructure orders, up sharply year over year.
- Fiscal 2026 revenue reached $63.3 billion; management guided fiscal 2027 to $72.2–$73.4 billion.
- Chuck Robbins said August 2026 customers are accelerating network refreshes for agentic AI.
What critics are saying
- Cisco cut nearly 4,000 jobs in May 2026; morale and execution suffer through 2027.
- Hyperscaler AI orders dominate growth; any capex slowdown hits Cisco’s 2027 revenue plan.
- Higher hardware mix crushed Q4 fiscal 2026 gross margin, threatening valuation if AI slows.
What makes Cisco unique
- Cisco’s Silicon One, optics, and networking stack targets hyperscaler AI refreshes in 2026.
- Cisco owns installed enterprise networking relationships few rivals match across routing, switching, and security.
- Webex, Splunk, and security subscriptions deepen customer lock-in across infrastructure and operations.
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Benefits
Paid Vacation
Hybrid Work Options
Flexible Work Hours
Professional Development Budget
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↓ -1%2 year growth
↑ 0%Cisco Systems has emerged as a significant AI infrastructure player after booking $9.3 billion in AI infrastructure orders for fiscal year 2026. The company projects $7.5 billion in AI revenue for fiscal 2027. In its fourth quarter ended August 2026, Cisco delivered revenue of $17.25 billion, up 17.58% year-over-year, with networking revenue jumping 28% to $9.79 billion. Hyperscaler AI orders reached $4 billion in the quarter alone. The stock has gained 44.33% year-to-date and 66.66% over the past year. Chief executive Chuck Robbins stated that "accelerating adoption of agentic AI is fueling a networking super cycle." For fiscal 2027, Cisco guides revenue between $72.2 billion and $73.4 billion. Four of the top hyperscalers each grew AI infrastructure orders in triple digits during the fourth quarter. The company trades at 22 times forward earnings.
Cisco Systems trades near $111.61 following a 72.1% gain over the past year. The options market projects a one-standard-deviation band of $80 to $156.87 for contracts expiring in about a year, representing a potential 28.3% downside or 40.6% upside. The company closed fiscal 2026 with record revenue of $63.3 billion, up 12%, and has guided fiscal 2027 to $72.2 billion to $73.4 billion. AI infrastructure for hyperscalers supplied about 6% of revenue in fiscal 2026, up from less than 2% the previous year, with $9.3 billion in orders booked. Management projects $7.5 billion in AI infrastructure revenue for fiscal 2027. However, non-GAAP product gross margin fell 270 basis points in Q4 2026, mainly due to heavier hardware mix and memory costs.
Cisco Systems has shifted its investor narrative from subscription revenue to hardware growth driven by hyperscaler AI infrastructure orders. The company's subscription share of total revenue fell from 56% in late fiscal 2025 to 48% in Q4 fiscal 2026, not because subscriptions declined but because product revenue surged 24% year-over-year whilst services revenue remained flat at $3.8 billion. AI infrastructure now accounts for 6% of Cisco's $63.3 billion fiscal 2026 revenue, up from under 2% the previous year. The company secured $9.3 billion in AI infrastructure orders, split between Silicon One systems and optics. The hardware-heavy mix pressured non-GAAP gross margin, down 210 basis points to 66.3%, though operating margin expanded to 35.9% as hyperscaler business requires minimal incremental expense.
Cisco delivered 15% revenue growth in its latest quarter, beating the 9% analyst consensus, driven by triple-digit order growth from all four major hyperscalers in fiscal Q4. The company reported $4.0 billion in AI-related orders during the quarter and $9.3 billion across fiscal 2026. CEO Chuck Robbins told CNBC that AI-era data centre traffic runs 14 times higher than traditional cloud infrastructure. Hyperscalers now allocate approximately 13% of their capital expenditure to Cisco's addressable market. The company guided to $7.5 billion in AI infrastructure revenue for fiscal 2027. Despite the strong results, shares fell from $124 to $115, though analysts maintain a $133 consensus target with 17 buy ratings. Robbins characterised the AI networking buildout as a multi-year secular trend rather than a cyclical spike.
The US Department of Labor reported that the producer price index for final products remained unchanged in July, against expectations of a 0.1% increase. Core PPI rose 0.4%, exceeding the consensus estimate of 0.3%. Both headline and core PPI increased 4.7% annually. Crude oil prices fell around 2% after the International Energy Agency warned that global oil demand would decline more than previously forecast. The Strait of Hormuz remained blocked, with traffic falling to a three-month low. Following the inflation data and falling oil prices, yields on US government bonds declined, with the 10-year Treasury falling 2 basis points. Initial jobless claims rose to 209,000 for the week ended 8 August, above estimates of 203,000.