Data Scientist I - Analytics
New York, NY

Job Description

Job Description:

As part of Wholesale Credit, the Analytics & Information Strategy team is responsible for leveraging data to build and deliver analytics that influence and support revenue generation, expense reduction, and enable Global Banking associates to make faster and better decisions.

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

Required Qualifications:

* 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 statistics, algorithms and data mining techniques
* Experience with SQL and/or NoSQL
* Knowledge of machine-learning techniques, classifiers, descriptive, prescriptive and predictive analytics
* Understanding of natural language processing techniques is a plus
* 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

Preferred Experience/Skills:

* Experience with Wholesale Credit products and functions; familiarity with Wholesale Credit policies and procedures
* Familiarity with Wholesale Credit systems and data
* Project management and/or process design experience

Posting Date: 07/09/2019

Location: New York, NY, BANK OF AMERICA TOWER, ONE BRYANT PARK, Charlotte, NC, BANK OF AMERICA PLAZA, 101 S TRYON ST, - United States

Travel: Yes, 10% of the time

Full / Part-time: Full time

Hours Per Week: 40

Shift: 1st shift