Data Scientist II

  • GM Financial
  • Fort Worth, TX, USA
  • Jul 25, 2018
Full-time Analytics Artificial Intelligence (AI) Big Data Business Analytics Deep Learning Machine Learning Predictive Analytics Python R SAS

Job Description

Overview

The Data Scientist II mines and analyzes complex data sets using advanced statistical methods for use in data driven decision making. The Data Scientist II assists in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. This position is responsible for summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives.

Responsibilities

Job Duties

  • Performs research, analysis, and modeling on organizational data
  • Assists in analyzing key metrics and performing data analysis
  • Builds technical knowledge to support research and analytic responsibilities
  • Assists in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
  • Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
  • Provides findings and analysis for use in decision making
  • Ensures that the delivered products meet the business needs of the company
  • Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership

Qualifications

Knowledge

  • Ability to identify and understand business issues and map these issues into quantitative questions
  • Efficiently work with large datasets
  • Ability to design and implement model documentation and monitoring protocols
  • Demonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques

Skills

  • MS Office required
  • Python, R, and SAS programming required
  • Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management
  • Ability to identify and seek needed information/research skills
  • Analytical thinking skills
  • Ability to interact collaboratively with internal and external customers
  • Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
  • Problem/situation analysis

Education

  • Master’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field required

Experience

  • 3-5 years as a Data Scientist required

Work Conditions

  • Normal office environment

Job ID

2018-32676