Task Impetus Inc.
Data Scientist-Entry Level (12004)
Task Impetus Inc., Chicago, Illinois, United States, 60290
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Data Scientist-Entry Level (12004)
role at
Task Impetus Inc.
Overview Data scientists are analytical data experts who possess the technical skills to address complex problems. They gather, analyze, and interpret vast amounts of data while working with a variety of computer science, mathematics, and statistics-related concepts. They have a duty to offer perspectives that go beyond statistical analysis. Data scientists collaborate closely with business leaders and other key players to comprehend company objectives and identify data-driven strategies for achieving those objectives. A data scientist’s job is to gather a large amount of data, analyze it, separate out the essential information, and then utilize tools like SAS, R programming, Python, etc. to extract insights that may be used to increase the productivity and efficiency of the business.
Responsibilities
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
To boost general effectiveness and performance, stay current with the newest tools, trends, and technologies
Collaborating with the product team and partners to provide data-driven solutions created with original concepts
Create analytics solutions for businesses by combining various tools, applied statistics, and machine learning
Qualifications Bachelor’s degree in computer science, data science, or a related field.
Company
Task Impetus Inc.
Information Technology
Benefits
Increment would be at least a minimum of 15% every six months.
Relocation charges will be provided to you during your project.
Medicinal, Dental and Vision benefits following 60 days of business.
Medical coverage qualified following 60 days of business.
Present moment and long-haul handicap following 60 days of work.
401k retirement benefits plan qualified following half a year of work.
Only For International Candidates On OPT/CPT
Employer’s Confirmation Letter/CPT Letter/Offer Letter will be provided, which you need to submit to your university within 90 days of the start of your OPT.
OPT Extension Letter will be provided to those candidates who are qualified for STEM extension.
H1B Sponsorship will be provided to OPT and CPT candidates only once they join our client’s project.
Other Benefits
Pre-job Training with Experienced Trainers.
Assignments & Case Studies provided during training.
Mock sessions before interviews.
Multiple interview rounds with different clients.
Visa Sponsorship.
Training completing certificates.
Seniority Level Entry level
Employment Type Full-time
Job Function Engineering and Information Technology
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Data Scientist-Entry Level (12004)
role at
Task Impetus Inc.
Overview Data scientists are analytical data experts who possess the technical skills to address complex problems. They gather, analyze, and interpret vast amounts of data while working with a variety of computer science, mathematics, and statistics-related concepts. They have a duty to offer perspectives that go beyond statistical analysis. Data scientists collaborate closely with business leaders and other key players to comprehend company objectives and identify data-driven strategies for achieving those objectives. A data scientist’s job is to gather a large amount of data, analyze it, separate out the essential information, and then utilize tools like SAS, R programming, Python, etc. to extract insights that may be used to increase the productivity and efficiency of the business.
Responsibilities
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
To boost general effectiveness and performance, stay current with the newest tools, trends, and technologies
Collaborating with the product team and partners to provide data-driven solutions created with original concepts
Create analytics solutions for businesses by combining various tools, applied statistics, and machine learning
Qualifications Bachelor’s degree in computer science, data science, or a related field.
Company
Task Impetus Inc.
Information Technology
Benefits
Increment would be at least a minimum of 15% every six months.
Relocation charges will be provided to you during your project.
Medicinal, Dental and Vision benefits following 60 days of business.
Medical coverage qualified following 60 days of business.
Present moment and long-haul handicap following 60 days of work.
401k retirement benefits plan qualified following half a year of work.
Only For International Candidates On OPT/CPT
Employer’s Confirmation Letter/CPT Letter/Offer Letter will be provided, which you need to submit to your university within 90 days of the start of your OPT.
OPT Extension Letter will be provided to those candidates who are qualified for STEM extension.
H1B Sponsorship will be provided to OPT and CPT candidates only once they join our client’s project.
Other Benefits
Pre-job Training with Experienced Trainers.
Assignments & Case Studies provided during training.
Mock sessions before interviews.
Multiple interview rounds with different clients.
Visa Sponsorship.
Training completing certificates.
Seniority Level Entry level
Employment Type Full-time
Job Function Engineering and Information Technology
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