Data Scientist – Strategic Data Solutions
Key Qualifications
  • Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
  • Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
  • Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
  • Ability to comprehend and debug complex systems integrations spanning toolchains and teams
  • Ability to extract meaningful business insights from data and identify the stories behind the patterns
  • Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
  • Creativity to engineer novel features and signals, and to push beyond current tools and approaches
• Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
• Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem
• Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions
• Ensure operational and business metric health by monitoring production decision points • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
• Communicate results of analyses to business partners and executives
• Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
Education & Experience
• Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; • Ph.D. in Math, Engineering, Economics, or hard science with data science fellowship;
• M.S. in related field with 3+ years experience applying data science to real business problems

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