Data Scientist

LBC Express, Inc.; Pasay; On-site; PHP 700,000 - 1,100,000; Full time

Job summary

LBC Express, Inc. in the Philippines is seeking a Data Scientist to uncover insights from large data sets. You will perform statistical analyses, apply data mining techniques, and build predictive and forecast models to support business and customer needs.

The role requires a strong quantitative degree and hands-on experience with R and Python; SQL is a plus. You should be able to communicate findings effectively and adapt to extended hours in a fast-paced environment.

Qualifications

• Bachelor to Master’s Degree in Quantitative field such as Business Analytics, Statistics, Applied Statistics, and Applied Mathematics.

Responsibilities

• Perform statistical analysis to uncover insights from large data sets.
• Apply data mining techniques to large datasets to extract patterns.
• Build and maintain predictive and forecast models to support business decisions.
• Draw strategic insights from analysis results to guide business and customer initiatives.

Skills

Statistics

Data Mining

R

Python

SQL

Communication

Agile

Data Analysis

Education

Bachelor to Master’s Degree in Quantitative field

Tools

R

Python

SQL

Job description

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data and help us generate insights to make smarter decisions in delivering our business and customer needs. Your primary focus will be in doing statistical analysis, applying data mining techniques, building and maintaining high quality behavioral, prediction and forecast models, and drawing strategic insights from the results of these analysis.

Job Specification:

• Bachelor to Master’s Degree in Quantitative field such as Business Analytics, Statistics, Applied Statistics, and Applied Mathematics.

Work Experience:

Minimum of at least 1-2 years’ work experience in:

• Statistics and Analytics
• Economics
• Market Research
• Marketing and Campaigns Management
• Business Review Reporting and Analysis
• Proficient in using data science toolkits like R and Python
• Experience with data management software, such as SQL is an advantage
• Deep understanding of statistical methods and modeling concepts
• Ability to generate insights from results of analysis
• Good presentation and communication skill
• Agile, versatile and well adept to extended working hours