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Data Scientist - C2C - Remote at Remote, Remote, USA
Email: [email protected]
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https://jobs.nvoids.com/job_details.jsp?id=149877&uid=

From:
Mano,
sightspectrum
[email protected]
Reply to:   [email protected]

Hi ,

Greetings from Sight Spectrum! 

Please find the job description below for your review and if interested, please send across your recent updated resume for further discussion

Role:Data Scientist

Location:Remote

Requirements:

Minimum 6yrs experienced in Hands-on Data Science work
He/She will be responsible for collaborating with global cross functional teams in identifying/analyzing/interpreting digital trends/optimizing & personalizing' digital sale technologies and solutions.
This is a hands-on technical role. Candidate must have hands on experience on

Regression

GBM, D-Tree
clustering
StateSpace Algorithm

Candidate must have hands on experience on running SOl Scripts for :

Descriptive Analysis

Predictive Analysis

The individual should have good communication, organization and presentation skills.
The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different cot
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Must have experience working on Advanced Analytics using Big Data, Data Warehousing, Cognitive and Heuristic platforms.
Research, design, implement, and oversee high-end analytical/technology process and solutions with a focus on leveraging advanced machine learning, artificial intellige Work with the business to understand the requirements of the digital challenges, heuristic, machine and cognitive analysis and communicate back the results.
Build analytical solutions and models by manipulating large data sets and integrating diverse data sources.
Perform ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.
Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Apply machine learning and statistical techniques to large data sets to find actionable insights.

Keywords:
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04:31 PM 17-Nov-22


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