Data Scientist (Remote)

Elder Research•Arlington, VA

2d•Remote

About The Position

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

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.
Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline.
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.

Nice To Haves

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

Responsibilities

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.