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Data Scientist (Co-Op) Canada
Company | Cisco |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Computer Hardware Manufacturing,Software Development,Computer Networking Products |
Expires | 2023-08-31 |
Posted at | 9 months ago |
What You’ll Do
- Interpret data, analyze results using statistical techniques and provide ongoing reports.
- Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and accurate code problems.
- Acquire , clean and structure data from various sources and maintain databases/data systems.
- Develop, prototype and test predictive algorithms.
- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
- Identify , analyze, and interpret trends or patterns in complex data sets.
- Proficient in queries, report writing and presenting findings.
- Self-starter with a passion for solving hard complex problems and background in security analytics domain.
- You know how to work a problem from beginning to end with data science tools and techniques, including data manipulation (SQL, Hadoop, Spark etc.) and programming (R, Python, XML, JavaScript, or ETL) frameworks.
- Working knowledge of Snowflake, Vertex AI, AWS Sage Maker, Jupyter notebooks and other AI/ML toolset.
- Able to legally live and work in the country for which you’re applying, without visa support or sponsorship.
- Currently enrolled in a 4-Year univ ersity program
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Knowledge of Linux & Cisco network devices is desirable.
- Experience with Relational & Non-Relational databases is desirable. Strong knowledge of and experience with data visualization with Kibana, Looker, Grafana or similar technologies.
- Technical knowledge regarding data models, database design development, data mining and segmentation techniques.
- Strong experience in Python, cryptography & JavaScript.
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