Big Data Scientist

Company Name:
Minimum salary: 110000.00 USD
Maximum salary: 120000.00 USD
Salary period: Annual
SalaryAdditional: Bonus
Big Data Scientist
Looking for a candidate to do Big Data Solutions: design analysis of data predictive models, data problems, machine learning. Masters Degree or Ph.D.
Job Responsibilities:
Design and develop predictive models leveraging state-of-the-art technologies including Big Data framework and generate actionable insights into customer behavior
Strong knowledge of statistical and machine learning techniques such as regression analysis, clustering, decision trees, ensemble methods, collaborative filtering, Look Alike methods eg K-nearest neighbors, association rules, and Matrix factorization
Develop POCs with a quick turnaround to meet the needs of Business Stakeholders
Leverage data management processes and available infrastructure/API tools to develop Proof-of-Concept Capabilities/Solutions in Big Data
Create and execute strategies to establish Big Data Capabilities as AXP enterprise wide capabilities
Understand and implement change management control processes
Governance/Compliance/Regulatory management
Working with AET Integrators, Internal/External compliance, CISO, Privacy, corporate security and operational risk teams to define governance and deploy capabilities
Ability to transform data and prototype quickly to conduct statistical analysis using tools like R, Python, Java, or SAS
Proficiency with SQL and relational databases
Proficiency with Unix/Linux environments
The ability to create a strong network of relationships among peers, internal partners, and external constituencies
Comfortable communicating with and receiving feedback from both technical and non-technical audiences
Expert in Big Data technologies and machine
Learning algorithms in Map-Reduce framework
Expert in Database, platform architecture and SQL languages
Experience in Business intelligence, data analytics and machine learning models
Experience leading teams to design, develop and deploy models in production
Experience in Hadoop operating systems and utilities
Experience in developing APIs in MapReduce framework, Hadoop Stack, Java, Perl, Python, C++ and Bash
Experience in ETL using NoSQL/DS databases such as HBase, M7, Solr & Elastic Search

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