Data Scientist

Strategic Link Consulting•Christiansted, VI

15d•Onsite

About The Position

The Data Scientist will be responsible for mining, organizing, and analyzing complex business data. This role involves presenting conclusions, making actionable recommendations to Senior and Executive Leadership, and utilizing analytical skills and data mining tools to monitor and streamline business processes. The Data Scientist will also assist in data preprocessing, deployment, model quality monitoring, variable drift monitoring, and other tasks to support the development and maintenance of statistical, machine learning, and deep learning models used in underwriting and other business processes. Additionally, the role will provide recommendations for strategy and process improvement in daily business operations.

Requirements

Proficiency in Python (preferred) or R is required.
Ability to adapt quickly to working in other programming languages.
General database querying skills (e.g., SQL).
Advanced Microsoft Excel, MS Word, PowerPoint.
Outlook Exchange.
Bachelor's Degree in: Finance, Economics, Computer Science, Data Science, Mathematics, or Statistics or a similar discipline.
Active Listening skills.
Writing skills.
Critical Thinking skills.
Understanding of predictive modeling and credit scoring methodologies.
Analytical skills.
Problem Solving skills.
Business Acumen.
Strategic Thinking skills.
Reading Comprehension skills.
Social Perceptiveness skills.

Responsibilities

Independently analyze and interpret data using a variety of techniques, from simple data aggregation to complex data mining.
Document findings, present conclusions, and make data-driven and analytics-based recommendations to Sr. Management.
Compile reports, charts, and tables based on established statistical and analytical methods.
Develop data models to meet the needs of the organization's information systems.
Oversee the project lifecycle of data studies or any other projects related to risk or analytics in the operational areas of the business (fulfillment, servicing, and collections).
Deliver written project plans to set expectations and gain strategic agreement.
Conduct and analyze business and information technology processes, specifically related to collections and dialer strategies and call center staffing.
Make recommendations for necessary changes on projects from other operational departments.
Coordinate with division managers and the product development team to understand business needs and develop actionable solutions.
Develop and monitor forecasting models.
Complete monthly/quarterly trend analysis.
Conduct ongoing sensitivity analysis to optimize business recommendations.
Build and monitor predictive models in the marketing and loan acquisition stages of the business.
Develop strategies to deploy predictive models.