Address
Form of workJob Description
Candidate Requirements
Years of Experience Required 8-10 years applicable experience required
Degrees or certifications required Bachelor's degree in a technical field such as computer science, computer engineering or related field required
Best vs. Average
*Self Starter* candidate needs to be one.
Experience with database technologies
Knowledge of the ETL process
Knowledge of at least one scripting language
Strong written and oral communication skills
Strong troubleshooting and problem solving skills
Demonstrated history of success
Desire to be working with data and helping businesses make better data driven decisions
Performance Indicators Drive and Output, Quality of Work.
Top 3 Hard Skills Required + Years of Experience
1. 6+ Years of Experience AI Machine learning as a Data Scientist, and create trends/analysis about the business to help the org
2. 6+ Years of Experience Clustering, Algorithms, Run Large Scale Models (to help create insights for the business org) to inform on business decisions
3. 6+ Years of experience Customer segmentation, sentiment analysis, AI Machine Learning, AI Modeling
4. 6+ Years of Full Stack Development
Summary:
The main function of a Data Scientist is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems.
Job Responsibilities:
Expert in latest AI modeling techniques, including Clustering algorithms, Natural Language Processing etc.
Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies
Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
Design, implement, automate and maintain large scale enterprise data ETL processes
Modify existing databases and database management systems and/or direct programmers and analysts to make changes
Test programs or databases, correct errors and make necessary modifications
Qualifications:
Bachelor's degree in a technical field such as computer science, computer engineering or related field required
8-10 years applicable experience required
Experience with database technologies
Knowledge of the ETL process
Knowledge of at least one scripting language
Strong written and oral communication skills
Strong troubleshooting and problem solving skills
Demonstrated history of success
Desire to be working with data and helping businesses make better data driven decisions
Years of Experience Required 8-10 years applicable experience required
Degrees or certifications required Bachelor's degree in a technical field such as computer science, computer engineering or related field required
Best vs. Average
*Self Starter* candidate needs to be one.
Experience with database technologies
Knowledge of the ETL process
Knowledge of at least one scripting language
Strong written and oral communication skills
Strong troubleshooting and problem solving skills
Demonstrated history of success
Desire to be working with data and helping businesses make better data driven decisions
Performance Indicators Drive and Output, Quality of Work.
Top 3 Hard Skills Required + Years of Experience
1. 6+ Years of Experience AI Machine learning as a Data Scientist, and create trends/analysis about the business to help the org
2. 6+ Years of Experience Clustering, Algorithms, Run Large Scale Models (to help create insights for the business org) to inform on business decisions
3. 6+ Years of experience Customer segmentation, sentiment analysis, AI Machine Learning, AI Modeling
4. 6+ Years of Full Stack Development
Summary:
The main function of a Data Scientist is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems.
Job Responsibilities:
Expert in latest AI modeling techniques, including Clustering algorithms, Natural Language Processing etc.
Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies
Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
Design, implement, automate and maintain large scale enterprise data ETL processes
Modify existing databases and database management systems and/or direct programmers and analysts to make changes
Test programs or databases, correct errors and make necessary modifications
Qualifications:
Bachelor's degree in a technical field such as computer science, computer engineering or related field required
8-10 years applicable experience required
Experience with database technologies
Knowledge of the ETL process
Knowledge of at least one scripting language
Strong written and oral communication skills
Strong troubleshooting and problem solving skills
Demonstrated history of success
Desire to be working with data and helping businesses make better data driven decisions
