Avance Consulting Services
Role: Sr. Data Scientist
Location: Memphis, TN
Duration: Full Time / Permanent
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 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 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)/QlikView/Excel
Additional Information All your information will be kept confidential according to EEO guidelines.
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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 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 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)/QlikView/Excel
Additional Information All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr