Description

You will design and implement scalable data architectures and predictive models to drive business decisions. You own the full lifecycle of data solutions, from statistical analysis to deployment.

Responsibilities

• Lead the design and implementation of scalable data architectures.
• Develop and maintain SQL scripts to ensure data integrity and performance.
• Apply statistical analysis to derive actionable insights from complex datasets.
• Build predictive models using data science techniques to drive business decisions.
• Establish data governance policies to maintain security and compliance.

Required Skills

• 10+ years of experience in SQL Scripting, Statistics, and Data Science.
• Expertise in statistical analysis and its application in real-world scenarios.
• Proficiency in data science techniques, including predictive modeling and machine learning.
• Strong background in SQL Scripting with extensive hands-on experience.
• Ability to translate stakeholder data needs into technical requirements.
• Proven track record in product and data analytics.

Preferred Skills

• Mentor junior team members on data analytics and architecture best practices.
• Deploy product analytics solutions in collaboration with cross-functional teams.

Key Skills

Education

Any Graduate