Data Scientist 2 Role

beBee Careers is hiring a Data Scientist 2 for Prime Time Consulting in Joint Base Pearl Harbor-Hickam, HI. The role requires expertise in Big Data management, programming, and data visualization. Candidates should have strong mathematical and computational skills, with experience in machine learning and data analysis. A bachelor's degree with 3 years or an associate's with 5 years of experience is required. Active Security Clearance is necessary.
Prime Time Consulting seeks a skilled Data Scientist 2 to support our team in Hawaii. The ideal candidate will possess expertise in Big Data Platform management, programming languages, and data visualization.

The selected individual must be able to perform tasks associated with Big Data Platform management, develop prototype algorithms, and support data visualization and analytics.

To excel in this role, the Level 2 Data Scientist shall possess capabilities in mathematical, computational, and statistical skill areas, as well as data processing, modeling, inference, and prediction.

We are seeking an experienced professional with a strong foundation in mathematics, computer science, and application-specific knowledge.

Key responsibilities include devising strategies for extracting meaning from large datasets, making principled conclusions from data, and communicating complex technical information to non-technical audiences.

A bachelor's degree with 3 years of relevant experience or an associate's degree with 5 years of relevant experience is required. A broader range of degrees may be considered with a Certificate in Data Science.

Relevant experience must include designing/implementing machine learning, data science, advanced analytical algorithms, programming, statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and software engineering.

Active Security Clearance with appropriate Polygraph is required.

This role offers a competitive salary range, along with benefits such as PTO, 401k contribution, health care options, short-term/long-term/life insurance, and annual training budget.