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.