Remote Data Scientist - Big Data & ML (TS Clearance)

elderresearch; Arlington (VA); Remote; USD 140,000 - 180,000; Full time

Job summary

Elder Research, Inc. in the Washington, DC area is seeking a Data Scientist to apply expert statistical analysis, data mining and AI to turn raw data into actionable insights.

You will design and implement data-driven solutions, create models and visualizations, and develop simulations to recommend analytic approaches. Role emphasizes strong communication of techniques and results, collaboration with a consulting team, and work within a national-capital-region remote setting with strict

Qualifications

• 6+ years of relevant experience in applied research, big data analytics, statistics, data science or related quantitative field.
• At least 3 years of direct experience in machine learning.
• 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.

Responsibilities

• Supports CBP in the Washington DC area with statistical analysis, data mining and AI to derive actionable insights.
• Design and implement data-driven solutions, models and visualizations for descriptive and predictive analytics.
• Develop quantitative simulations and identify trends through big data analysis.

Skills

Machine Learning

Data Mining

Data Visualization

Quantitative Analysis

Communication Skills

Education

Advanced degree (MS/PhD) in quantitative field

Tools

Qlik

Databricks

PySpark

SQL

Python

Job description

Elder Research, Inc. in the Washington, DC area is seeking a Data Scientist to apply expert statistical analysis, data mining and AI to turn raw data into actionable insights.

You will design and implement data-driven solutions, create models and visualizations, and develop simulations to recommend analytic approaches. Role emphasizes strong communication of techniques and results, collaboration with a consulting team, and work within a national-capital-region remote setting with strict