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Data Scientist - Remote

Posted 5 days ago
Data Analysis
Full Time
USA

Overview

The Data Scientist position at Elder Research involves applying expert knowledge in statistical analysis and data mining to support U.S. Customs and Border Protection, transforming raw data into actionable insights.

In Short

  • Remote position with a preference for candidates in the National Capital Region.
  • Requires a TS or CBP BI or DHS Suitability clearance.
  • Involves complex data mining and statistical analysis.
  • Design and implement data-driven solutions.
  • Develop quantitative simulations and models.
  • Identify trends through big data analysis.
  • Maintain knowledge of machine learning tools and techniques.
  • Requires at least 6 years of relevant experience.
  • Advanced degree in a quantitative discipline preferred.
  • Offers competitive salary and benefits.

Requirements

  • Six years of relevant experience in data science or related fields.
  • Three years of direct experience in machine learning.
  • Advanced degree in Statistics, Applied Mathematics, or similar.
  • Knowledge of data mining, databases, and visualization.
  • Ability to communicate analysis techniques.
  • Experience with Qlik and cloud-based technologies.
  • Proficient in SQL and Python.
  • Familiarity with analytic techniques like clustering and NLP.

Benefits

  • Supportive work environment with work-life balance.
  • Opportunities for professional growth.
  • Company stock ownership for all employees.
  • Stable employment with a focus on career development.
  • Regular company tech talks and lunches.
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Distro

Distro is an innovative AI-driven startup focused on developing and optimizing machine learning systems that provide actionable business insights. With a commitment to leveraging cutting-edge technology, Distro aims to build scalable AI solutions that simplify operations for businesses. The company fosters a collaborative environment where experienced professionals can contribute to shaping AI infrastructure from the ground up, making it an exciting opportunity for those passionate about AI and machine learning.

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