Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Apply statistical techniques and data visualization tools to analyze data sets and extract meaningful insights.
• Interpret the results of data analysis and translate them into actionable recommendations for stakeholders.
• Develop and implement statistical\ML models and algorithms to solve specific business problems or make predictions.
• Create and maintain optimal data pipeline architecture and tools for internal process improvements which include automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Machine Learning Modeling: Develop, train, and evaluate machine learning models using algorithms such as regression, classification, clustering, and deep learning.
• Perform other duties as assigned.

Qualifications

REQUIRED:

• Bachelor's Degree or higher in Computer Science, Statistics, Informatics, Information Systems, engineering or equivalent fields.
• At least 1 years of relevant experience.
• Data analysts need strong analytical skills to interpret complex data sets and extract meaningful insights. This includes the ability to identify trends, patterns, and correlations within the data.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and big data platforms, esp. MySQL, PostgreSQL and MSSQL.
• Proficiency in programming languages commonly used in data science such as Python. Additionally, proficiency in using data science tools and frameworks.

Skills

• Strong written and verbal communication in English
• Strong project management and organizational skills. Able to work and communicate well with cross-functional teams in a dynamic environment.