Data Scientist

Meet the Team

The Office of Analytics is a team of BI engineers and data scientists. We partner with our stakeholders across all of Cisco's businesses to break down data silos and bring together data from across the company. We identify, craft, transform and combine this data into a modern data warehouse. By analyzing and interpreting these complex datasets, we build actionable and insightful reports that enable the organization to understand the health of the business and identify opportunities for growth and improvement.

Your Impact

You will provide data solutions that provide business visibility and drive decision making in areas such as sales, marketing, product management and engineering, customer success and more. Our solutions support individual contributors up through executive leadership. An ideal candidate has strong software background, thrives in an entrepreneurial atmosphere, communicates efficiently, and can effectively architect, design and develop enterprise-level data science, reporting, and analytics solutions.

Responsibilities

• Partner with business stakeholders and cross-functional teams on data, reporting, metrics and analytics initiatives.
• Effectively identify opportunities to leverage statistics, experimentation, and other analysis techniques, as appropriate, to solve business problems.
• Analyze and define information needs and reporting/analytical requirements across the organization. Translate functional requirements and into data science problems.
• Apply ML/AI techniques and generative AI models to enhance data analysis and predictive capabilities.
• Build models, reports, visualizations, and other data solutions that drive more effective business decisions.
  
  

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 4+ years of experience as a Data Scientist or similar role.
• Strong SQL skills and programming experience (Python preferred) for data analysis and machine learning at scale, including libraries such as NumPy, SciPy, Pandas and Scikit-learn.
• Experience with data visualization tools or frameworks such Tableau, Power BI, or similar tools.
• 3+ years of hands on experience applying statistical and machine learning models to solve complex business problems
  
  

Preferred Qualifications

• Familiarity with data prep and transformation
• Familiarity with deployment and productionalizing ML/AI solutions
• Strong product sense to produce product usage analyses based on product telemetry datasets
• Familiarity with modern data warehousing technologies
• Excellent written and verbal communication skills, strong analytical and problem-solving skills.
  
  

#WeAreCisco

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!