Sr. Data Scientist

Job Description
• 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

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

Qualifications
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 7 years of experience within the Information Technologies.

Additional Information
** U.S. citizens and those who are authorized to work independently in the United States are encourage to apply. We are unable to sponsor at this time.

Note:-

• This is a Full-Time & Permanent job opportunity.
• Only US Citizen, Green Card Holder, GC-EAD, H4-EAD, L2-EAD, H1B and TN Visa can apply.
• H1B Transfer can also apply for this Full-Time & Permanent job position
• No OPT-EAD candidates please.
• Please mention your Immigration Status while applying .
• All your information will be kept confidential according to EEO guidelines.