Senior Data Scientist

Responsibilities:

• Serve as the primary source of data insights supporting internal and external constituencies
• Analyse and translate data findings into meaningful, actionable insights – including synthesizing relevant insights from different customer touchpoints and data sources.
• Lead, design, and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation, and advertising optimization that improve business performance and customer engagement.
• Institute and adopt best practices in data science, platforms, and approaches.
• Establish internal organizational standards and benchmarks.
• Work with other teams to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.
• Become an internal authority on data tools and resources
• Support ad-hoc business intelligence and other strategic initiatives

Requirements

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or related field.
• Minimum 5 years of hands-on experience in data science, including developing and production rising data science models
• Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.
• Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).
• Must possess the exceptional business judgment to identify core business objectives; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders