Register
Recruit Create CV

Data Scientist Analyst Jobs in Kota Tangerang, Banten

Data Scientist Jobs
By BitHealth At Kota Tangerang, Indonesia
Work and collaborate with the data team (data analyst, data engineer) and other team (project manager) to successfully deliver the project.
1-3 years of experience in Data Science and Machine Learning.
Have experience or strong interest in NLP and Text Processing.
Experience with Python programming languages including machine learning libraries such as Pandas, Numpy, Scikit-learn, Pytorch, Spacy, NLTK.
Strong Knowledge of SQL Query Language (BigQuery/PostgreSQL/MySQL/SQL Server).
Experience in AI/ML Deployment such as API Serving (FastAPI/Flask) is a plus.
Data Scientist Intern Jobs
By PT Indonesia Indicator At Kota Tangerang, Indonesia
Analyze raw data: assessing quality, cleansing, structuring for downstream processing( can be text or numeric data)
Checking data : mispelled, typo, duplication data
Undergraduates from any major who interest in data scientist
Discipline & Meticulously in Data
Know Pyhton programming language will be a plus
Proficiency in using Microsoft Office ( Excel & Word )

Are you looking for an exciting opportunity to use your data science and analytical skills to make a real impact? We are looking for a Data Scientist Analyst to join our team and help us uncover insights from our data to drive business decisions. You will be responsible for developing and executing data-driven strategies, analyzing data to identify trends and opportunities, and creating data-driven models to improve our products and services. If you are passionate about data and analytics and have the skills to make a difference, we want to hear from you!

Overview:

Data Scientist Analysts are responsible for analyzing large amounts of data to identify patterns, trends, and correlations that can be used to inform business decisions. They use a variety of methods and tools to collect, process, and analyze data, and then present their findings in a meaningful way.

Detailed Job Description:

Data Scientist Analysts are responsible for developing and implementing data analysis processes and procedures. They must be able to identify and interpret patterns and trends in data, and develop strategies to use the data to inform business decisions. They must be able to analyze large amounts of data from multiple sources, and develop models to predict outcomes. They must also be able to communicate their findings to stakeholders in a clear and concise manner.

What is Data Scientist Analyst Job Skills Required?

• Strong analytical and problem-solving skills
• Proficiency in data analysis tools and techniques
• Knowledge of statistical analysis and predictive modeling
• Ability to interpret data and draw meaningful conclusions
• Ability to communicate complex data in a clear and concise manner
• Ability to work independently and as part of a team

What is Data Scientist Analyst Job Qualifications?

• Bachelor’s degree in computer science, mathematics, statistics, or a related field
• Experience with data analysis tools and techniques
• Knowledge of statistical analysis and predictive modeling
• Knowledge of data mining and machine learning
• Ability to work with large datasets

What is Data Scientist Analyst Job Knowledge?

• Knowledge of data analysis tools and techniques
• Knowledge of statistical analysis and predictive modeling
• Knowledge of data mining and machine learning
• Knowledge of data visualization techniques
• Knowledge of database systems and query languages

What is Data Scientist Analyst Job Experience?

• Experience with data analysis tools and techniques
• Experience with statistical analysis and predictive modeling
• Experience with data mining and machine learning
• Experience with data visualization techniques
• Experience with database systems and query languages

What is Data Scientist Analyst Job Responsibilities?

• Collect, process, and analyze large amounts of data from multiple sources
• Develop models to predict outcomes based on data analysis
• Identify patterns and trends in data
• Develop strategies to use data to inform business decisions
• Communicate findings to stakeholders in a clear and concise manner
• Monitor data trends and adjust models as needed