Sr. Data Scientist
Company Name:
Verint Systems, Inc.
Overview of Job Function:
Drive improved fraud detection and authentication accuracy, both on a customer specific and product specific basis. Analyze current fraud trends; design, create, test and tune various fraud-detection algorithms and modules. Work with platform engineering and customer analytics teams to integrate the latest machine learning algorithms into our solutions.
Principal Duties and Essential
Responsibilities:
Analyzes transactional and account related data;
Develops algorithms to spot and stop fraud based on statistical techniques;
Develops visualization, analytics and automation tools to help deploy in data center environments;
Architects, designs and influences product development with solid insights into data analytics.
_ _ Minimum Requirements: _ _ _ _
BS degree in Computer Science or related technical engineering degree required;
5
years of experience in machine learning or statistical modeling;
Solid understanding of Machine Learning Algorithms;
Ability to work independently;
Capacity to perform a variety of complicated tasks with a wide degree of creativity and latitude;
Good command of the Python Language;
Comfortable working in a Linux environment;
Sharp analytical abilities; excellent communication skills;
Familiarity with Probability and Statistics;
Successful completion of Verint background screening process including, but not limited to, employment verifications, criminal search, OFAC, and SS verification;
Successful completion of credit check and drug test also required for roles, like this, which require working with sensitive customer PII data.
Preferred Requirements:
Advanced degree in Computer Science or related technical engineering field preferred;
Experience with Big-Data Frameworks (Hadoop, Cassandra, etc);
Understanding of Fraud in the Financial and Banking world;
Solid command of Java, C++, SQL.
Job Title: Sr. Data Scientist
Location: US-CA-Menlo Park
Job ID: 7045Estimated Salary: $20 to $28 per hour based on qualifications.
Verint Systems, Inc.
Overview of Job Function:
Drive improved fraud detection and authentication accuracy, both on a customer specific and product specific basis. Analyze current fraud trends; design, create, test and tune various fraud-detection algorithms and modules. Work with platform engineering and customer analytics teams to integrate the latest machine learning algorithms into our solutions.
Principal Duties and Essential
Responsibilities:
Analyzes transactional and account related data;
Develops algorithms to spot and stop fraud based on statistical techniques;
Develops visualization, analytics and automation tools to help deploy in data center environments;
Architects, designs and influences product development with solid insights into data analytics.
_ _ Minimum Requirements: _ _ _ _
BS degree in Computer Science or related technical engineering degree required;
5
years of experience in machine learning or statistical modeling;
Solid understanding of Machine Learning Algorithms;
Ability to work independently;
Capacity to perform a variety of complicated tasks with a wide degree of creativity and latitude;
Good command of the Python Language;
Comfortable working in a Linux environment;
Sharp analytical abilities; excellent communication skills;
Familiarity with Probability and Statistics;
Successful completion of Verint background screening process including, but not limited to, employment verifications, criminal search, OFAC, and SS verification;
Successful completion of credit check and drug test also required for roles, like this, which require working with sensitive customer PII data.
Preferred Requirements:
Advanced degree in Computer Science or related technical engineering field preferred;
Experience with Big-Data Frameworks (Hadoop, Cassandra, etc);
Understanding of Fraud in the Financial and Banking world;
Solid command of Java, C++, SQL.
Job Title: Sr. Data Scientist
Location: US-CA-Menlo Park
Job ID: 7045Estimated Salary: $20 to $28 per hour based on qualifications.
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