Data Scientist II

Bank of America - Charlotte, NC3.8

Full-timeEstimated: $120,000 - $150,000 a year
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Skills
Job Description:
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 the Wholesale Credit portfolio and the metrics to monitor those improvements.

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.

Responsibilities

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
Experience

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
Knowledge of Big Data Architectures and AWS environment
Experience with Hadoop/Hive, Bigquery, Neo4J or MongoDB
Experience with SQL and/or NoSQL
Knowledge of machine-learning techniques, classifiers and statistical methods
Understanding of natural language processing techniques
Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline
Demonstrated success in executing high value, enterprise projects with clear articulation of benefits, costs and risk
Superb communication, coaching and management skills across multiple business stakeholders and IT as well as external partners
Desire to use modern technologies as a disruptive influence within the Finance domain

Shift:
1st shift (United States of America)

Hours Per Week:
40