Data Scientist (Remote)

Elder Research

$90K — $130K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in applied research or related quantitative fields
  • 3+ years of direct machine learning experience
  • Advanced degree (Master's or PhD) in a quantitative discipline
  • Knowledgeable in data mining methods and databases
  • Strong communication skills for presenting analysis techniques

Responsibilities

  • Apply statistical analysis and complex data mining to derive insights from data
  • Design and implement data-driven solutions using advanced analytical methods
  • Develop quantitative simulations and models for predictive analytics
  • Identify trends and problems through big data analysis
  • Stay updated on emerging tools and techniques in machine learning and analytics

Benefits

  • Remote work opportunity within the Washington DC Metro Area
  • Support from U.S. Customs and Border Protection
  • Opportunity to work with complex data sets
  • Focus on advanced analytical methods in a key governmental role
Full Job Description
Job Title: Data Scientist

Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)

Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years

Position Overview:

Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.

Requirements:
  • MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning.
  • Must have a Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience.
  • Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.
  • Ability to communicate analysis techniques, concepts and products.
  • Ability to develop data-driven solutions, data models, and visualizations
  • Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)

Preferred Experience and Skills:
  • Expertise using Qlik to embed visualizations into webpages
  • Familiarity with Databricks or similar cloud-based distributed database technologies
  • Familiarity with PySpark and Python
  • Comfortable developing complex SQL queries to extract, transform, and load data

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