Role: Sr. Data Scientist
Duration: Full Time / Permanent
Location: Memphis, TN
Overall Responsibilities
- 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
Functional Responsibilities
- 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
Technical / Analytical Skills
- 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
Nice to have
- 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
Essential Skills
- 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 the using the tools
- Strong experience in data manipulation using SQL on Hive/Impala or other Databases
- Experience in developing and deploying model with Mahout, Spark MLLib is preferable
- Must be proficient in programming either R/Python/Scala
- Should have experience in Financial services industry -Capital market would be preferable
- Should have exposure to Data Visualization tools: Tableau(Preferable)/Qlickview/Excel
Additional Information
All your information will be kept confidential according to EEO guidelines.
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