Data Scientist ANZSCO 224115
Having Trouble Writing your CDR Report ?
Access complimentary ANZSCO CDR and RPL report samples crafted by our experienced professionals in accordance with the Migration Skill Assessment guidelines.
ANZSCO CODE
Data Scientist ANZSCO 224115
Give us a call at +61 483 914 303 directly for immediate query and fast assessment!
We are always here to assist you! Feel free to contact our friendly team of writers with any questions you have.
UNIT GROUP: 2241
Data Scientist
Data Scientists are experts who utilize scientific methods, processes, algorithms, and systems to analyze and interpret large volumes of structured and unstructured data. They apply mathematical, statistical, and computational approaches to derive insights from data, which can be utilized for decision-making and problem-solving at an organizational level. Data Scientists utilize big data technologies and advanced analytics software to create predictive models, automate processes, and identify patterns in data to inform business strategies.
Occupation List:
489 (S/T) Occupations List
482 TSS Visa Medium Term List
407 Training Visa Occupations List
482 TSS Visa Regional Occupation List
189 Skilled Independent and Family Sponsored
489 Occupations List and 485 Graduate Work Stream
190 State/Territory Sponsored
186 ENS Visa Occupations List
187 RSMS Visa Occupations List
491 Skilled Work Regional (Provisional) Visa (subclass 491) Occupation List
494 Skilled Employer Sponsored Regional (Provisional) Visa (subclass 494)
Employer Sponsored Stream
Not on the occupation Lists
482 TSS Visa Short Term List
Skill Level
Typically, a bachelor’s degree in computer science, data science, statistics, mathematics, or a related field is required. Advanced degrees such as a master’s or PhD may be the preferred option for certain roles, particularly in specialist areas of data science. In some cases, general relevant work experience (five years and more) may be replaced by formal education. Certification in a particular tool or technology such as Python, R, SQL, machine learning, or data visualization tools may be preferable or obligatory.
English Requirement
In order to qualify for a visa, applicants must demonstrate English proficiency in one of the following tests:
IELTS: At least 6 in Writing, Listening, and Reading; 7 in Speaking; and 7 overall.
OET: At least grade B in all categories.
TOEFL iBT: At least 12 in Listening, 13 in Reading, 21 in Writing, 23 in Speaking, and overall score of 93.
PTE Academic: 50 minimum in Writing, Reading, and Listening; 65 in Speaking; overall score of 65.
Tasks to Perform
Data Collection and Cleaning: Gather large data sets from various sources, clean and preprocess data for quality and usability for analysis.
Data Analysis: Apply statistical and machine learning methods to analyze complex data and uncover patterns, trends, and relationships.
Model Development: Build, create, and deploy predictive and prescriptive models using statistical and machine learning methods such as regression analysis, classification, clustering, and neural networks.
Data Visualization: Create interactive visualizations and reports to communicate complex data findings and trends to stakeholders in an easily understandable format.
Algorithm Optimization: Create algorithms optimized for higher accuracy, efficiency, and scalability when dealing with large data sets and predicting outcomes.
Business Intelligence Support: Collaborate with business stakeholders to identify data needs and use analytics to support decision-making processes, strategic planning, and operational improvement.
Big Data Tools and Technologies: Gain skills in handling big data platforms and tools, such as Hadoop, Spark, or NoSQL databases, to enable the processing of large volumes of data and real-time data processing.
Data Engineering Collaboration: Collaborate with data engineers to get data pipelines and infrastructure optimized for data storage, retrieval, and processing.
Research and Development: Conduct research to stay ahead of the curve in terms of emerging trends and technologies in data science, such as natural language processing, AI, and deep learning, and adopt them to maximize business outcomes.
Predictive Analytics: Use predictive analytics and machine learning algorithms to forecast future trends, behavior, or results based on historical data.
Reporting and Documentation: Create reports and documentation of methodologies, results, and recommendations based on data analysis for business leaders and stakeholders.
Ethical Data Practices: Follow data privacy policies and maintain ethical practices when handling sensitive or personal data.
Many of our clients have given us great feedback! Now it’s your turn!
Our primary goal is to deliver well-structured reports that follow the correct guidelines for migrants, ensuring client satisfaction. Report champs provides top-notch services at competitive prices, guaranteeing complete customer satisfaction.
