Data Scientist

PT. Sigma Cipta Caraka (Telkomsigma); Tangerang Selatan; On-site; USD 12.000 - 20.000; Full time

Job summary

A leading company in data technology is seeking a skilled data analyst. The role involves gathering and analyzing data, building predictive models, and communicating insights across various teams. Candidates should be proficient in programming languages such as R and Python, and have experience with data mining techniques.

Qualifications

• Experience applying data mining and information retrieval techniques.
• Experience performing data analysis using programming languages.
• Ability to navigate complex data problems.

Responsibilities

• Gather data from various sources, both primary and secondary.
• Build machine learning or statistical models to make predictions.
• Create visualizations to aid in understanding the data.

Skills

Data mining

Information retrieval

Data analysis

Communication

Tools

R

Python

Javascript

Job description

Job Specification:

• Gather data from various sources, including primary and secondary sources
• Identify patterns, trends, and anomalies in data
• Build machine learning or statistical models to make predictions or classifications
• Assess the performance of models using metrics like accuracy, precision, recall, and F1-score
• Clean and organize data into a format that can be analyzed
• Create tables, graphs, and other visualizations to help understand data
• Create systems and algorithms to automate processes
  
  

Job Qualification:

• Experience applying data mining and information retrieval techniques to extract significant insights
  
  

from arbitrary data sets

• Experience performing data analysis using programming languages; e.g., R, Python, Javascript
• Ability to effectively communicate findings about data in technical or non-technical ways
• Ability to coordinate with team members across engineering, product development, content
  
  

development, and business development

• Ability to navigate complex data and engineering problems, evaluate different algorithmic
  
  

approaches, and analyze data to solve problems