Description
Minimum 1 year of experience in data analysis, handling large volumes of information, or verifiable academic/professional data science projects
KNOWLEDGE:
Programming languages (Python, R). Proficiency with analytical libraries (Pandas, NumPy, Scikit\-learn). Descriptive and inferential statistics.
Collect and clean data from diverse sources to ensure its integrity and quality.
Develop dashboards for monitoring key performance indicators (KPIs).
Apply statistical models and machine learning algorithms to identify patterns or trends.
Generate technical reports and executive presentations with relevant findings for business areas.
Collaborate with the IT team to integrate data models into production systems.
Salary: $1\.00 per day
Workplace: On-site employment