Senior Data Scientist, Public Protection Analytics

New York City Department of Consumer and Worker Protection

New York (NY)

On-site

USD 120,000 - 170,000

Full time

5 days ago
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Job summary

The NYC Department of Consumer and Worker Protection (DCWP) invites applications for a Senior Data Scientist to support enforcement of consumer and worker protection laws. You will work with investigators and attorneys to develop data collection, analysis, and automation systems, and identify violations and damages using sophisticated analytics.

Joining a growing team of data scientists, technologists, researchers, and economists, you will help standardize data processes and guide strategic

Qualifications

  • Advanced programming, scripting, and statistical languages; strong data modeling and analysis skills.
  • Experience mapping legal/regulatory concepts to data structures and processes.
  • Ability to handle multiple assignments with accuracy under deadlines.

Responsibilities

  • Identify data needed to evaluate compliance with NYC worker and consumer protection laws.
  • Coordinate with investigators and attorneys to deliver responsive data and interpretations.
  • Develop data analysis tools to describe business practices, identify witnesses, and calculate damages.
  • Assess data usage in investigations and litigation and suggest improvements.
  • Propose changes to laws, rules, and guidance relevant to data work.
  • Assist with economic data analysis and process design/automation.

Skills

Python
R
SQL
Data Visualization
Statistics
Communication

Education

Master's degree in a relevant field
Doctorate (preferred)

Tools

Git
Jupyter

Job description

The NYC Department of Consumer and Worker Protection (DCWP) invites applications for a Senior Data Scientist to support enforcement of consumer and worker protection laws. You will work with investigators and attorneys to develop data collection, analysis, and automation systems, and identify violations and damages using sophisticated analytics.

Joining a growing team of data scientists, technologists, researchers, and economists, you will help standardize data processes and guide strategic

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