Data Scientist with AI at Everest Global Solutions | Torre
Data Scientist with AI
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Everest Global Solutions

Data Scientist with AI

Everest Global Solutions
Posted by
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Emma
Emma
You'll leverage AI to transform vast data into impactful insights and drive innovation.
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Full-time

Legal agreement: Employment

Base compensation
USD3.5K - 4K/month

+ Commissions (~ USD5 /month)

+ Bonuses (up to 10% of base compensation)

+ Equity (up to 15% of the company)

+ Health insurance

+ Overtime ( USD35 /hour)

Negotiable
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Remote (anywhere)
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Posted 5 months ago

Requirements and responsibilities

Role: Data Scientist with AI Location: Remote Duration: Long Term Contract: C2C // W2 Experience: 10+ Years Job Description: · Data scientists are responsible for mining complex data and providing systems-related advice for their organization. · They design new ways to incorporate vast information with a focus on information technology topics. · They work with teams of other IT professionals to manage statistical data and create different models based on the needs of their company. · They possess advanced analytical skills, in addition to their exceptional oral and written communication abilities. · They process research information for easier consumption and transform it into actionable plans. · They also provide value to their businesses through their findings and thoughtful insights. IT data scientists follow specific, strict company and industry guidelines in their work. · They observe data privacy rights to ensure client satisfaction and avoid legal issues. · They create networks of professionals to consult, including internal partners and external colleagues. Most of the time data scientists work in teams using collaborative filtering, k-nearest neighbors, market basket analysis and matrix factorization methods. · They deal with cutting edge technologies on a regular basis, and often have the best tools available at their disposal. One of their main work tools is usually an industrial computer with high processing power and proprietary software applications for research tasks. IT data scientists usually must possess previous work experience in a similar position. They should have advanced knowledge of different data mining techniques such as clustering, regression analysis, decision trees and support vector machines.
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