Anametrix Work Values

Daily Duties at Anametrix:

Led data science efforts to assess and improve of data quality, address efficiency challenges, develop valid model results for clients, boost platform performance, enhance metadata and, in general, support the SaaS business intelligence platform.

What they like about Anametrix:

The social vibrance of a hiring firm is very important to you. Your ability to make and maintain friendships there is a critical part of your decision. You would likely be dissatisfied with a workplace that is quiet, cold, or otherwise not particularly social. When you investigate a new hiring company, ask recruiters, managers, and potential co-workers about the social life and opportunities there. This is especially important when you are relocating; moving dramatically alters your social sphere both inside and outside the workplace.

Tags

data science, machine learning, optimization, statistics, mathematical programming, global optimization, statistical computing, statistical programming, data quality, metadata, big data, web analytics, GIS, spatial interaction, predictive analytics, resource allocation, segmentation, data visualization, data graphics, site selection, R, SAS, S-Plus

Skills

data science, statistics, machine learning, optimization, data quality, big data, R, SAS, S-Plus, predictive analytics, web analytics, statistical computing, mathematical programming, global optimization heuristics, SQL, metadata, GIS, spatial interaction modeling, resource allocation, segmentation, statistical programming, data visualization, data graphics, site selection

These are some of the questions we asked our climbers about their experiences with Anametrix: