Senior Federal Data Scientist — TS Clearance, On-Site

KPMG LLP; McLean (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

KPMG LLP is seeking a Senior Specialist to join our Federal Advisory practice in McLean, VA. The role focuses on delivering analytics-driven client solutions, wrangling data, and preparing insight reports while working daily on client sites.

The ideal candidate has at least three years of data analytics experience, a Bachelor's degree, and hands-on use of Python, SQL, R, Alteryx, and SAS, with knowledge of data science concepts and strong communication skills. A U.S.

Qualifications

• Three years of technical data science / data analytics experience.
• Bachelor's degree from an accredited college/university.
• Experience analyzing / wrangling data using Python, SQL, R, Alteryx, SAS or similar.
• Experience with data science, ML, data simulation, and optimization concepts.
• Strong communication skills; ability to explain technical concepts to non-technical audiences.
• Position requires daily work on client-site.
• U.S. Government Top-Secret clearance is required.

Responsibilities

• Support delivery of client solutions utilizing analytics, EDA, data wrangling, and ETL.
• Derive insights from data using analytics and data wrangling tools (e.g. Python, R, Alteryx, SQL, SAS).
• Prepare data for analysis through cleansing, integration, and transformation.
• Gather analytic requirements from clients and technical/non-technical audiences.
• Develop documentation and guides for analytics usage and maintenance.

Skills

Strong communication

Client-site work

Education

Bachelor's degree

Tools

Python

SQL

R

Alteryx

SAS

Job description

KPMG LLP is seeking a Senior Specialist to join our Federal Advisory practice in McLean, VA. The role focuses on delivering analytics-driven client solutions, wrangling data, and preparing insight reports while working daily on client sites.

The ideal candidate has at least three years of data analytics experience, a Bachelor's degree, and hands-on use of Python, SQL, R, Alteryx, and SAS, with knowledge of data science concepts and strong communication skills. A U.S.