Sr. Data Scientist

Role:
Sr. Data Scientist

Location:

Memphis, TN
Duration:
Full Time / Permanent

Senior data scientist.

• Research various analytical approaches
• Recommend and develop mathematical algorithms for related business problems
• Communicate and direct development teams on implementation of statistical models
• Interface with business users and gather feedback on delivered analytical data
• Deploy solutions onto big data platforms

• Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD
• Validation of analytical approaches produced by vendor and 3rd party consulting teams
• Developing data validation methods

• Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques, etc.)
• Experience with regression techniques for modeling the relationship between an output variable and several input variables
• Experience with Big Data technologies
• Experience with visualization tools like Tableau
• Experience creating interface specification documents, attribute mapping documents, functional specifications
• Experience with web scraping
• Experience with Text Matching applications

• Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management
• Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities

• Strong verbal and written communication skills
• Strong research skills
• Python, R, SQL, Hive, Spark
• Statistical analysis:
  To understand and work around possible limitations in models
• Being able to develop hypothesis and test the hypothesis with careful experiments
• Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas
• Should have experience with time series modeling
• Should have experience with optimization approaches
• Familiarity with the Big Data Ecosystem tools:
  Hadoop, Hive, Impala, Mahout, Spark (Spark SQL, MLLib), HBase and be comfortable with using the tools
• Strong experience in data manipulation using SQL on Hive/Impala or other databases
• Experience in developing and deploying models with Mahout, Spark MLLib is preferable
• Must be proficient in programming either R/Python/Scala
• Should have experience in financial services industry – capital markets would be preferable
• Should have exposure to data visualization tools:
  Tableau (preferable)/Qlik View/Excel

All your information will be kept confidential according to EEO guidelines.