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Business Data Scientist II, Miami, Florida

Description

Business Data Scientist II, Miami, Florida

The Business Data Scientist is primarily responsible for the development and implementation of advanced statistical, descriptive and predictive models (machine learning, supervised, unsupervised, classification, regression and time series) for business related problems, as well as for products and services efforts. This position analyzes, proposes, and generates predictive and descriptive models and target customer data for CRM campaigns, segmentation, acquisition, retention, and cross and up selling, and pricing optimization. The successful candidate must also generate a comprehensive customer view serving to identify business opportunities and providing the tools to support sales objectives. This person will need to display and implement proper methodology for analysis and model cycles ensuring timely tracking, documentation, reproducibility, scalability, and insights that are actionable and used to improve future business initiatives, challenges and efforts.

Minimum Education and/or Certifications Requirements:

  • Bachelor's degree in Statistics, Economics, Computer Science, Systems Engineering or Industrial Engineering or similar.
  • Master's degree in Statistics/Analytics/Data Science preferred.
  • DataCamp, EDx, Coursera or similar institution certification in Open Source Coding a plus.
  • SAS Accreditation a plus.

Minimum Work Experience Requirements:

  • Minimum three years' experience in developing Statistical Models, Data Mining CRM Analytics, Business Intelligence, Knowledge Management, and Data Warehousing.
  • Minimum two years of experience in complex projects.
  • Experience in the financial industry, service industry or mass market (CPG) preferred.

Technical and/or Other Essential Knowledge:

  • Mastery:
    • Analytical: SAS, R and/or Python.
    • R-Markdown and Jupyter Notebooks.
    • Databases: MS SQL Server, MS SQL Server Reporting Services (SSRS), SAS.
    • Microsoft Office: MS Excel Advanced and MS PowerPoint Advanced.
  • Proficiency:
    • Data Visualization: PowerBI and/or Tableau.
  • Knowledge:
    • Banking Core System Structure: Signature.
    • Analytics Unstructured Data: non-SQL - Mongo, Hadoop, Cassandra, Java, Hive.
    • Project management, organizational: MS Project, MS Visio, SharePoint and Teamwork, Jira, or similar.
    • Web tools: Google Analytics, AdWords, CRM Cloud a plus.
  • Desirable:
    • Experience with analytic techniques, statistical modeling, and web analytics technologies such as Google Analytics, Adobe Analytics a plus.

Requirements

 

Job Snapshot

Location US-FL-Miami
Employment Type Full-Time
Pay Type Year
Pay Rate N/A
Store Type Banking
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Company Overview

Amerant Bank

At Amerant Bank, we empower our customers by providing them with the financial solutions they need to move forward. We do the same for our employees in that we provide an environment that allows them to pursue their career aspirations and enjoy a rewarding work experience. We recognize that everyone has their own career goals and definition of success. That’s why at Amerant Bank, we empower employees with the resources, support and opportunities to move their careers in the direction of their aspirations. Learn More

Contact Information

US-FL-Miami
Amerant Bank
Snapshot
Amerant Bank
Company:
US-FL-Miami
Location:
Full-Time
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
Banking
Store Type:

Description

Business Data Scientist II, Miami, Florida

The Business Data Scientist is primarily responsible for the development and implementation of advanced statistical, descriptive and predictive models (machine learning, supervised, unsupervised, classification, regression and time series) for business related problems, as well as for products and services efforts. This position analyzes, proposes, and generates predictive and descriptive models and target customer data for CRM campaigns, segmentation, acquisition, retention, and cross and up selling, and pricing optimization. The successful candidate must also generate a comprehensive customer view serving to identify business opportunities and providing the tools to support sales objectives. This person will need to display and implement proper methodology for analysis and model cycles ensuring timely tracking, documentation, reproducibility, scalability, and insights that are actionable and used to improve future business initiatives, challenges and efforts.

Minimum Education and/or Certifications Requirements:

  • Bachelor's degree in Statistics, Economics, Computer Science, Systems Engineering or Industrial Engineering or similar.
  • Master's degree in Statistics/Analytics/Data Science preferred.
  • DataCamp, EDx, Coursera or similar institution certification in Open Source Coding a plus.
  • SAS Accreditation a plus.

Minimum Work Experience Requirements:

  • Minimum three years' experience in developing Statistical Models, Data Mining CRM Analytics, Business Intelligence, Knowledge Management, and Data Warehousing.
  • Minimum two years of experience in complex projects.
  • Experience in the financial industry, service industry or mass market (CPG) preferred.

Technical and/or Other Essential Knowledge:

  • Mastery:
    • Analytical: SAS, R and/or Python.
    • R-Markdown and Jupyter Notebooks.
    • Databases: MS SQL Server, MS SQL Server Reporting Services (SSRS), SAS.
    • Microsoft Office: MS Excel Advanced and MS PowerPoint Advanced.
  • Proficiency:
    • Data Visualization: PowerBI and/or Tableau.
  • Knowledge:
    • Banking Core System Structure: Signature.
    • Analytics Unstructured Data: non-SQL - Mongo, Hadoop, Cassandra, Java, Hive.
    • Project management, organizational: MS Project, MS Visio, SharePoint and Teamwork, Jira, or similar.
    • Web tools: Google Analytics, AdWords, CRM Cloud a plus.
  • Desirable:
    • Experience with analytic techniques, statistical modeling, and web analytics technologies such as Google Analytics, Adobe Analytics a plus.

Requirements

 
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Business Data Scientist II, Miami, Florida Apply now