Sr. Data Scientist

Hi,
I hope you are doing good.
I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further.
Role: Sr. Data Scientist
Duration: Full Time / Permanent
Location: Memphis, TN
Required

Skills:

Overall

Responsibilities:

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 on to big data platforms
Functional

Responsibilities:

Specific tasks include but are not limited to:
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
Required

Skills:

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: Tableu(Preferable)/Qlickview/Excel

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