!! Urgent hiring for Data Scientist in Australia and Canada !!

2 - 10 years

3 - 45 Lacs

Posted:1 month ago| Platform: Foundit logo

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Job Type

Full Time

Job Description

Job highlights

At least a Bachelor / Diploma

Min 2 Years of Experience

Job match score

Early Applicant

Key skills

Location

Work Experience

Call for more details: +91 8527364486

Data scientists use advanced analytics technologies, including machine learning and predictive modelling, to support the identification of trends, scrape information from unstructured data sources and provide automated recommendations. They are employed by consulting firms, universities, banks and information technology departments in the private and public sectors.

  • Implement cutting-edge techniques and tools in machine learning, deep learning and artificial intelligence to make data analysis more efficient
  • Perform large-scale experimentation to identify hidden relationships between variables in large datasets
  • Create advanced machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees and , neural networks
  • Prepare and extract data using programming language
  • Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems
  • Visualize data in a way that allows a business to quickly draw conclusions and make decisions
  • Develop artificial intelligence models and algorithms and implement them to meet the needs of the organization
  • Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data.

Key Requirements:

  • Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
  • Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
  • Capable of critically evaluating data to derive meaningful, actionable insights.
  • Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
  • A bachelor's degree inComputer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.

Preferred Qualifications:

  • A bachelor's degree in statistics, mathematics, computer science, computer systems engineering or a related discipline or completion of a college program in computer science is usually required.
  • A master's or doctoral degree in machine learning, data science, or a related quantitative field is usually required.
  • Experience in programming is usually required.
  • Experience in statistical modelling or machine learning is usually required.

Required Candidate profile

Age below 50 years

Min 2 Years of Experience

At least a Bachelor/Diploma

Excellent communication skills

Medically Fit

Permanent settle with family

Can work in any occupation

Role:Data Scientist

Industry Type:Private and public sector

Department:Information technology department

Employment Type:Full Time, Permanent

Role Category:Data Scientist

Salary 35 -55 LPA

Education

UG:Any Graduate

Key Skills

Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.

Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.

Capable of critically evaluating data to derive meaningful, actionable insights.

Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.

A bachelor's degree inComputer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.

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