Data Scientist - Strategic Data Solutions
Software and Services
+ 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; or • Ph.D. in Math, Engineering, Economics, or hard science with data science fellowship; or • M.S. in related field with 3+ years experience applying data science to real business problems
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