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Mid-Level Data Scientist

Information Technology | Washington, DC | Full Time

Job Description

Required Experience:

  • Demonstrated experience analyzing data using SQL, Excel, and a programming language (either Python or R).

  • Demonstrated experience using Unix or Linux platforms to maintain work products.

  • Demonstrated attention to detail, critical thinking, and ability to find simple, interpretable solutions to complex data problems.

  • Demonstrated experience writing queries as part of data processing code that is selfdocumenting and clean.

  • Demonstrated experience in developing analytics solutions that are scalable and repeatable.

  • Demonstrated experience using Github, and Git.

Experience working with subject matter experts in a regulatory environment, including attorneys, researchers, and/or economists. This requires translation of technical analysis and results for non-technical audiences. Inclusive of at least one of the following:

(1) Experience providing technical expertise for attorneys conducting work on topics such as: litigation, depositions, witness/expert witness preparation, crossexaminations; experience using and extracting information from legal review platforms, with quantitative analysis of data from foreign sources, reverse engineering of data formats, and/or calculating damages.

OR (2) Experience providing technical expertise for non-technical researchers/subject matter experts, using multiple advanced analytical and statistical techniques such as: natural language processing, time-series modeling, predictive modeling, valuation of options and derivatives, sampling, sample size calculations, hypothesis testing, and/or A/B testing.

Experience working closely with a variety of teams to identify, diagnose, troubleshoot, and resolve technical, strategic and/or analytical issues.

Preferred Experience:

  • Experience performing statistical analysis and manipulation, using programming languages/software such as SQL (window functions, common table expressions, inner/outer joins, materialized views), Excel (lookup, index/matching, offset function, pivot tables), Python (including Pandas and Numpy libraries), R (including tidyverse), R-Shiny, and/or Spark.

  • Experience providing training on a variety of development and data methodologies and/or tools to include new technologies and solutions that could help the Data Science Team and the Bureau at large.

  • Software or data engineering experience.

  • PhD or degree in a math, hard science or quantitative social science field.

  • Experience working in an AWS cloud environment.

  • Prior Government experience in order to expedite the onboarding clearance process. Familiarity with the eQIP system and SF86 forms helpful.