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Teradata Corporation Case Study
Candidate Placement: PhD Data Scientist at Teradata
Leadership: Steve Brobst, CTO
Year: 2014
The Challenge
In 2014, the demand for Big Data and advanced analytics talent was growing rapidly. Teradata needed a highly specialized PhD Data Scientist to support its enterprise analytics and innovation initiatives. The role required expertise in:
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Predictive analytics
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Machine learning
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Statistical modeling
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Hadoop and Big Data technologies
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Enterprise-scale data environments
The ideal candidate also needed strong communication skills and the ability to work with senior technical and business leaders.
Our Approach
We conducted a targeted direct headhunt focused on identifying highly specialized PhD-level analytics talent from:
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Leading Big Data and analytics companies
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Enterprise technology organizations
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Advanced research and innovation teams
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Top-tier academic and data science programs
The search concentrated on professionals with expertise in:
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Predictive analytics
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Machine learning
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Statistical modeling
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Hadoop and Big Data technologies
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Enterprise-scale analytics environments
Each candidate was carefully assessed for:
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Technical depth
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Commercial analytics experience
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Problem-solving capability
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Executive communication skills
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Ability to operate within large enterprise environments
The Solution
We successfully placed a PhD-level Data Scientist with strong expertise in:
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Predictive modeling
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Large-scale analytics
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Machine learning
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Hadoop technologies
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Enterprise customer analytics
The candidate brought both research excellence and practical commercial experience.
The Results
The placement supported Teradata’s growing focus on:
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Advanced analytics
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Big Data innovation
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Customer intelligence solutions
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Enterprise data science initiatives