Crystal Equation
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https://www.crystalequation.com
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#LI-MGUPTA
Pay range is $65 - $70 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.
Client's Infrastructure and Security Department is looking for a Senior Data Scientist to bring advanced analytics to the business-critical programs.
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. You will lead end-to-end highly impactful data-centric initiatives prioritized and supported by the org leaders.
With the foundation analytics already in place, you will take a deep dive to discover novel insights across infrastructure, security, products, operations and more.
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
225 Park Avenue South NY , New York 10003 NYC, NY 10003 US
Posted: 04/20/2023
2023-04-20
2023-07-07
Job Number: 37320
Job Description
#LI-MGUPTA
Pay range is $65 - $70 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.
Client's Infrastructure and Security Department is looking for a Senior Data Scientist to bring advanced analytics to the business-critical programs.
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. You will lead end-to-end highly impactful data-centric initiatives prioritized and supported by the org leaders.
With the foundation analytics already in place, you will take a deep dive to discover novel insights across infrastructure, security, products, operations and more.
If you are an experienced Data Scientist with a background in Infrastructure and Security, join us to pioneer this domain.
Responsibilities
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Develop a comprehensive research plan, including posing, testing and presenting hypothesis
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Design and develop actionable and reliable metrics
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Recognize patterns and anomalies in data, interpret trends, events, and draw recommendation insights that guide decisions
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Express complex or technical information in a clear, informative and engaging way
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Participate in roadmap planning
Minimum Qualification
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6+ years of experience leading multiple complex analytics and data science projects
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Background in Infrastructure and Security space
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Prior Consulting, Managed Service, or Research experience
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4 years of experience with metric design, data mining, feature engineering
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4 years of experience with data science tools, techniques and algorithms
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4 years of experience with statistical tools and techniques
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4 years of experience writing performant SQL queries
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3 years of programming experience (Python preferred)
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2 years of experience with reporting and visualization tools and techniques
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2 years of experience with various databases
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Familiarity with data modeling, architecture and ETL
Preferred Qualification
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Experience with ranking algorithms
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Experience with classification and clustering techniques
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Experience with predictive analytics