Description

You will perform complex analyses and build statistical and machine learning models to drive strategic decisions across financial services, real estate, retail, and the public sector.

Responsibilities

• Develop and improve statistical models and machine learning algorithms to predict consumer behavior and identify data patterns.
• Conduct research to identify new market opportunities and formulate research questions solvable via data analysis.
• Build computer models and implement new algorithms to enhance existing predictive capabilities.
• Translate complex technical findings into clear reports and actionable recommendations for non-technical stakeholders.
• Collaborate with software engineers, architects, and clients to integrate data-driven insights into business processes.

Required Skills

• 10+ years of experience in data science or analytical roles.
• Proficiency in Python, R, or Java for scripting and data processing.
• Strong foundation in mathematics for interpreting data, creating formulas, and building models.
• Expertise in statistical modeling and data analysis techniques.
• Ability to identify and extract relevant datasets to test hypotheses.
• Strong business acumen to communicate the financial implications and ROI of data projects.
• Effective communication skills to explain technical concepts to management and stakeholders.
• Degree requirement: Any Graduate.

Key Skills

Education

Any Graduate