Kigo is seeking a Manager of Data Science & Analytics Products to lead its data science organization and build innovative data products to establish Kigo as the leading global AI-driven loyalty platform.
Requirements
- Deep expertise in statistical modeling, ML algorithms, Python/R, AWS data services (SageMaker, EMR, Redshift), business intelligence tools (Power BI, Tableau), advanced SQL, and web analytics platforms (Google Analytics, Adobe Analytics)
- Experience in data science, machine learning, and statistical analysis
- Experience building data capabilities
- Experience in loyalty/rewards platforms, financial services, customer data platforms
- Experience with model deployment, monitoring, and real-time scoring systems
- Experience with A/B testing frameworks and experimentation strategies
Responsibilities
- Personally leading development of predictive models, machine learning algorithms, and advanced statistical analysis for customer behavior, churn prediction, and personalization
- Build and develop internal data science capabilities while establishing strategic contractor relationships and vendor partnerships in data science, data engineering, and ML/AI engineering, establishing methodologies and governance practices for strategic organizational growth
- Design and implement comprehensive business intelligence solutions using Power BI, Tableau, and advanced SQL while leveraging web/app analytics platforms (Google Analytics, Adobe Analytics) to optimize customer journeys and measure campaign effectiveness
- Conduct deep-dive statistical analysis and hypothesis testing to uncover insights from large datasets, develop A/B testing frameworks and experimentation strategies, and build data products that combine ML modeling with real-time optimization
- Oversee enterprise-scale data science infrastructure on AWS including model deployment, monitoring, and real-time scoring systems while managing contractor relationships and vendor partnerships to extend specialized capabilities
- Partner with Product, Sales, and Strategic Partnerships to embed predictive models and statistical insights into core business processes, develop customer-facing analytics products, and support enterprise implementations with sophisticated analytics and modeling capabilities
Other
- 3+ years in leadership roles
- Strong entrepreneurial mindset with self-starter mentality and proven ability to execute with urgency and excellence in fast-paced environments
- Managing contractor relationships, vendor partnerships, and cross-functional collaboration to deliver complex data science projects
- 5+ years driving revenue growth through data products, analytics, and optimization in e-commerce, digital advertising, or loyalty platforms
- Exceptional ability to communicate complex statistical concepts to C-level executives and external stakeholders while translating business requirements into technical solutions through statistical analysis, BI dashboards, and predictive modeling
- Degree in data science, statistics, computer science, or related quantitative field
- Track record of thought leadership through industry speaking, publications, or open-source contributions
