Crystal Equation
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Client’s Infrastructure and Security Department is looking for a Senior Data Scientist to lead advanced analytics for Data Operations (DOPS).
You will be a part of a highly cross-functional team working amongst Data Analysts, Data Engineers, Software Developers, Product and Program Managers and more. DOPS specializes in detection, triage and auto-remediation of pipeline and infrastructure issues. The proprietary software is unprecedented, supporting around 2 million pipelines.
With the analytics foundations already in place, you will take a deep dive to discover novel insights and patterns through joining massive data sets and leveraging advanced techniques such as NLP, clustering.
If you are an experienced Data Scientist with a background in Infrastructure and Security, join us to pioneer this domain.
Responsibilities
Minimum Qualification
Preferred Qualification
Senior Data Scientist (DOPS)
Posted: 07/19/2022
2022-07-19
2023-04-20
Job Number: 35480
Job Description
Client’s Infrastructure and Security Department is looking for a Senior Data Scientist to lead advanced analytics for Data Operations (DOPS).
You will be a part of a highly cross-functional team working amongst Data Analysts, Data Engineers, Software Developers, Product and Program Managers and more. DOPS specializes in detection, triage and auto-remediation of pipeline and infrastructure issues. The proprietary software is unprecedented, supporting around 2 million pipelines.
With the analytics foundations already in place, you will take a deep dive to discover novel insights and patterns through joining massive data sets and leveraging advanced techniques such as NLP, clustering.
If you are an experienced Data Scientist with a background in Infrastructure and Security, join us to pioneer this domain.
Responsibilities
- Develop a comprehensive research plan, including posing, testing and presenting hypothesis
- Design and develop actionable and reliable metrics
- Recognize patterns and anomalies in data, interpret trends, events, and draw recommendation insights that guide decisions
- Express complex or technical information in a clear, informative and engaging way
- Participate in roadmap planning
Minimum Qualification
- 6+ years of experience leading multiple complex analytics and data science projects
- Prior Data Engineering or Architecture experience (Data Warehousing)
- Prior Consulting, Managed Service, or Research experience
- 4 years of experience with metric design, data mining, feature engineering
- 4 years of experience with data science tools, techniques and algorithms
- 4 years of experience with statistical tools and techniques
- 4 years of experience writing performant SQL queries
- 3 years of programming experience (Python preferred)
- 2 years of experience with reporting and visualization tools and techniques
- 2 years of experience with various databases
Preferred Qualification
- Experience with NLP
- Experience with classification and clustering techniques
- Experience with predictive analytics
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