Senior Data Scientist - Remote, Gov AI & Policy Analytics

Knexus Research Corporation

United States

Remote

USD 110,000 - 180,000

Full time

14 days+

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Job summary

Knexus Research Corporation seeks an experienced Data Scientist to join our government-focused AI team. This fully remote role is open to candidates in the continental United States, with work hours aligned to the Eastern Time Zone.

You will develop predictive models, analyze large datasets, and present insights to government stakeholders to inform mission-critical decisions. The ideal candidate has 8+ years in data science, strong Python or R skills, and experience with Hadoop, Spark, or SQL.

Qualifications

  • 8+ years of experience in data science or a related field.
  • Master's degree or Ph.D. in Data Science, Computer Science, Statistics, or related field.
  • Proficiency in Python or R and familiarity with Hadoop, Spark, or SQL-based tools.

Responsibilities

  • Data Analysis and Modeling: develop statistical models and algorithms for large datasets.
  • Predictive Analytics: apply machine learning to forecast trends.
  • Data Visualization and Reporting: create visuals and present findings to stakeholders.
  • Collaboration: work with other departments to translate data needs into insights.
  • Experience with Large Datasets: clean and structure data for analysis and tooling.

Skills

Python
R
Data Analysis
Machine Learning
Data Visualization

Education

Master's degree or Ph.D. in Data Science or related

Tools

Hadoop
Spark
SQL

Job description

Knexus Research Corporation seeks an experienced Data Scientist to join our government-focused AI team. This fully remote role is open to candidates in the continental United States, with work hours aligned to the Eastern Time Zone.

You will develop predictive models, analyze large datasets, and present insights to government stakeholders to inform mission-critical decisions. The ideal candidate has 8+ years in data science, strong Python or R skills, and experience with Hadoop, Spark, or SQL.

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