Data Scientist

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ESSENTIAL DUTIES/RESPONSIBILITIES:

Descriptive Reporting

Designs, develops, and implements the high quality and effective visualization and reporting solutions for the organization
Utilizes visualization best practices to convey information in a concise and consumable manner

Logical Analysis

Mines and analyzes data from various sources to supply reliable insights about agency programs.
Identifies trends, problems, and potential solutions through data analysis and data communication products.
Assesses the effectiveness and accuracy of new data sources and data gathering techniques

Data Modeling

Translates business needs into technical formats required to describe data models and support data architecting process by serving as a conduit between business users and the enterprise data warehouse.
Develops processes and tools to analyze data for accuracy and monitor their models for performance

Statistical Analysis

Interprets results from multiple sources using a variety of statistical techniques; builds tools that empower users with resources such regression analysis.
Creates predictive analysis models and means of delivering results to uses

General

Works with stakeholders throughout the agency to leveraging data to drive business solutions
Coordinates with different functional teams to monitor outcomes and ensure adherence to project plans
Performs related duties as assigned

Code Dev

Uses computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets.

JOB REQUIREMENTS:

Minimally, candidates will have a bachelors degree in statistics, math, computer science, informatics or economics. Advanced degrees or certification in these subject areas preferred.
Broad knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks
Knowledge using statistical computer languages (R, Python, SLQ, etc.) to manipulate and draw insights from large data sets is a plus.
Strong problem-solving skills with an emphasis on data driven solutions
Excellent written and verbal communication skills for coordinating across teams
Experience working in an Agile development environment is a plus
Ability to analyze policies and procedures and be able to recommend improvements
Excellent oral and written communication skills
Ability to work independently, anticipate problems and initiate corrective actions
Ability to effectively prioritize task between a variety of projects and functions
Ability to effectively document process and findings
Ability to establish and maintain effective working relationships

Require/Desire Skills: