Data Scientist

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.

• 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:

• Tableau Development.
• Dashboarding / Data Visualization development
• Operational Application of Statistical Analysis.
• Experienced with communicating complex insights using data products
• Agile/Scrum Project Development.
• SQL.