Qualifications

• Bachelor's, master's, or PhD in mathematics, statistics, computer science, or related field; master's preferred.
• 5+ years in quantitative and qualitative research, analytics, or data science.
• Solid understanding of machine learning algorithms and relational databases.
• Experience in data science modeling, statistics, analytics, or business intelligence.
• Proven track record in managing complex technical products.
• Proficiency in statistical analysis and data visualization techniques.
• Fluent in English, both written and oral.

Responsibilities

• Gather data from diverse IT sources, ensuring quality and integrity.
• Conduct Exploratory Data Analysis (EDA) to uncover patterns and validate assumptions.
• Develop advanced models utilizing large datasets and complex algorithms.
• Create visual data representations for effective communication and storytelling.
• Lead data science projects from inception to deployment, ensuring business alignment.
• Guide cross-functional teams in leveraging data for business improvements and solutions.
• Prepare and present reports conveying insights and recommendations.
• Suggest improvements for data process efficiency and model performance.

Benefits

• Support for professional development and ongoing training.
• Opportunities for collaboration with cross-functional teams.
• Flexibility in project management and work methods.