Job Description
Cisco Systems is a leading technology company focused on revolutionizing how data and infrastructure connect in the AI era. The role involves collaborating across various teams to develop advanced analytics, machine learning models, and intelligent automation solutions to enhance customer engagement and operational efficiency. Responsibilities Build, test, and deploy predictive models and machine learning pipelines to support customer lifecycle analytics and digital engagement at scale Transform complex, large-scale datasets through Python, SQL, and distributed computing tools to develop high-quality datasets and features for analytics and ML Develop automated dashboards, visualizations, and analytics apps using Power BI to deliver real-time insights to partners and leadership Identify, analyze, and interpret trends and patterns using advanced statistical, machine learning, and data-mining techniques; communicate insights with clarity Collaborate closely with business and engineering teams to translate persona-specific use cases into scalable solutions, consolidating requirements and delivering cross-functional data products Partner with data engineers and architects to design data pipelines, integrate new data sources, and validate data quality, completeness, and performance Implement and maintain data privacy, security, and governance processes within analytics and ML workflows Evaluate emerging tools, technologies, and methodologies in AI/ML and analytics; continuously improve our technical capabilities Skills Currently enrolled in a certification program (e.g., Boot Camp, Apprenticeship, Community College with 0 years of relevant experience) or currently enrolled in an undergraduate degree program.
Relevant fields include: Business, Supply Chain, Communications, Mathematics, Finance, Industrial Engineering, Statistics, or a related program or other academic certification Proficient in Python and its data science libraries (pandas, NumPy, scikit-learn), as well as R, with strong skills in statistical analysis, machine learning fundamentals, and data visualization Skilled in SQL for data transformation, modeling, and large-scale querying, with technical knowledge of data models, database design, data mining, and segmentation techniques Experienced in building dashboards and analytics solutions in Power BI (or similar BI tools), transforming complex data into clear, actionable insights Hands-on experience with data manipulation and ETL tools, including SQL and big-data technologies like Hadoop, along with familiarity with reporting and statistical packages such as Excel, SPSS, SAS, and Business Objects Able to legally live and work in the country for which you are applying, without visa support or sponsorship Benefits Medical, dental and vision insurance A 401(k) plan with a Cisco matching contribution Paid parental leave Short and long-term disability coverage Basic life insurance 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee’s birthday Paid year-end holiday shutdown 4 paid days off for personal wellness determined by Cisco 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use 80 hours of sick time off provided on hire date and each January 1st thereafter Up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer Annual bonuses subject to Cisco’s policies Performance-based incentive pay on top of their base salary Company Overview Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products.
It is a sub-organization of Cisco Press. It was founded in 1984, and is headquartered in San Jose, California, USA, with a workforce of 10001+ employees. Its website is