RTH Data Scientist

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Analytical Skill
Data Science
Big Data
C++
Programming Languages
Computer Science

Job Details

Must be local to Manhattan NY-3 days onsite/2 days remote--NO RELOCATIONS

Must have banking/financial experience

Data Scientist Job Responsibilities:

  • Formulates and leads guided, multifaceted analytic studies against large volumes of data.
  • Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.
  • Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
  • Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
  • Leads all data experiments tasked by the Data Science Team.
  • Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
  • Develops methodology and processes for prioritization and scheduling of projects.
  • Analyzes problems and determines root causes.
  • Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Data Scientist Qualifications / Skills:

  • Advanced analytical knowledge of data
  • Conducting big data analysis
  • Data conditioning
  • Programming advanced computing
  • Developing algorithms
  • Developing software and data models
  • Executing predictive analytics

Education, Experience, and Licensing Requirements:

  • Master s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields
  • 5-7 years of professional experience
  • Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Demonstrated experience applying data science methods to real-world data problems
  • Experience utilizing visualization tools to take advantage of the growing volume of available information

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