Applications are accepted until further notice.
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future.
When you apply, a Cisco representative may contact you directly if a relevant position opens.
Who You’ll Work With
Work on massive structured, unstructured, transactional and real-time data sets from a variety of sources to analyze customer usage patterns and provide actionable, intuitive, impactful insights using metrics, algorithms, and statistics.
What You’ll Do
- Acquire, clean and structure data from various sources and maintain databases / data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets
- Develop, prototype and test predictive algorithms
- Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and correct code problems
- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
- Interpret data, analyze results using statistical techniques and provide ongoing reports
Who You Are
You are a methodical problem-solver, adept at navigating the full spectrum of data science challenges from inception to resolution.
Your toolkit is stocked with advanced data manipulation skills and the ability to build and iterate on complex data models with ease.
Your technical acumen extends to database design and development, as well as data mining and segmentation techniques, allowing you to construct robust data architectures.
With your strong analytical abilities, you excel at sifting through vast datasets, organizing and analyzing them with a meticulous eye for detail and a commitment to accuracy.
You are the bridge between raw data and meaningful insights, transforming numbers into narratives that drive strategic decisions.
Minimum Qualifications
- Including but not limited to an upcoming graduate of a technical degree or certification program from a Technical Boot Camp, Apprenticeship, Community College or 4-Year University.
- Recently completed or actively enrolled in a Bachelor’s or Master’s degree program in Engineering, Computer Science, Data Science, Statistics or a related field or other academic certification
- Experience with data science tools and techniques, including data manipulation (SQL, Hadoop, etc.)
- Experience with programming (R, Python, XML, JavaScript, or ETL) frameworks
- Knowledge of and experience with reporting packages (Business Objects etc.).
- Use of statistical packages for analyzing large datasets (Excel, SPSS, SAS etc.).
- Technical knowledge regarding data models, database design development, data mining and segmentation techniques
- Proficient in queries, report writing and presenting findings
- Able to legally live and work in the country for which you’re applying, without visa support or sponsorship
Preferred Qualifications
- Experience with Oracle databases is desirable.
- Familiarity with advanced machine learning techniques, neural networks, and deep learning frameworks like TensorFlow or PyTorch
- Expertise in analyzing time-series data and forecasting
- Familiarity with software development methodologies
- Strong presentation and storytelling skills to effectively communicate findings to technical and non-technical audiences