Fundamental Components:

• Participates in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves moderately complex analytical problems.
• Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Explores, examines and interprets large volumes of data in various forms.
• Performs analyses of structured and unstructured data to solve moderately complex business problems, utilizing advanced statistical techniques and mathematical analyses.
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Uses data visualization techniques to effectively communicate analytical results and support business decisions.
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data.
• Explores existing data and recommends additional sources of data for improvements.
• Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics.

Required Qualifications

• 1-3 years of relevant programming or analytic experience.
• Experience with Machine Learning & Big Data is a MUST
• Must have hands-on experience with Python, SQL, Linux/SSH/Shell, Hive, Hadoop
• Demonstrates good written and verbal communication skills.
• Able to present information to various audiences.
• Effectively resolves problems and roadblocks as they occur.
• Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization.
• Ability to work with large data sets from multiple data sources.
• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master's degree preferred.

e-Zest is an equal opportunity employer. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information, citizenship status or any other category protected by applicable federal, state, or local laws.