22 days old

Data Analytics Data Scientist - Bank of America

Charlotte, North Carolina

The Data Scientist is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating quantitative and qualitative models, data mining, causal inferences, predictions, optimizations, and recommendations for CTO Workspace Services - Global Service Desk and Experience team. This position is for a self-starter with leadership qualities, responsible for formulating and managing projects, as well as developing data science models, and working with key business, data and technology leaders to establish roadmaps and deliver high value analytic projects. Position requires strong command of various data mining and advanced analytical techniques to produce easy to use analytical solutions.

  • Build an in-depth understanding of the business domain and available data assets
  • Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
  • Research, evaluate, design and implement machine learning, data blending, predictive modeling, data mining and data visualization approaches
  • Research new approaches as they become available in the market to determine applicability
  • Exercise thought leadership and discretion in tailoring the tools, approaches and data used to meet the needs of the particular problem
  • Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions

Requirements

Required Skills

  • 10+ years of overall experience in executing Data Analytics initiatives
  • 2 - 5 years of professional experience as a data scientist executing complex analytical projects
  • Strong programming experience with Python, Apache Spark, Tensorflow, Scikit-learn and pandas
  • Experience in end-to-end AI model development, deployment and monitoring
  • Knowledge of Big Data Architectures and AWS environment
  • Experience with Hadoop/Hive, BigQuery, Neo4J or MongoDB
  • Experience with SQL and/or NoSQL
  • Experience with data visualization tools like Tableau, Kibana, etc.
  • Knowledge of machine-learning techniques, classifiers and statistical methods
  • Hands-on experience with natural language processing techniques
  • Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline

The Technology Infrastructure Organization

  • Believes diversity makes us stronger so we can reflect, connect and meet the diverse needs of our clients and employees around the world
  • Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully
  • Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals.
  • Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience.
  • Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs.
  • Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing and giving them what they need to remain vibrant and vital.

Categories

Posted: 2020-05-08 Expires: 2020-07-07

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Data Analytics Data Scientist - Bank of America

Bank of America
Charlotte, North Carolina

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