About Us

Kigo is a technology company paving a new path forward for loyalty and digital advertising. Kigo's innovative platform connects advertisers with high-value customers through some of the world's most popular loyalty and rewards programs. As a subsidiary of Augeo, a leading global loyalty platform and services company, we leverage decades of industry expertise supporting Fortune 500 brands and their users across the globe. Kigo's expanding loyalty network enables 40,000+ local and national brands to reach millions of customers with proven engagement, spending power, and brand affinities—creating new revenue streams for loyalty programs while delivering more engaging, rewarding experiences. 

Summary

We're seeking a Director of Data Science & Analytics Products to lead Kigo's data science organization while building innovative data products that position Kigo as the leading global AI-driven loyalty platform. This unique hybrid role combines product management, data science, engineering, and advanced analytics to elevate user experience and drive business outcomes.

We're looking for a self-starter with strong entrepreneurial instincts and a drive to execute with urgency and excellence. Reporting directly to the President and Chief Product Officer, you'll be hands-on building machine learning models, conducting statistical analysis, and developing data products while managing contractor relationships to extend capabilities in specialized areas.

If you want to build cutting-edge data products while establishing a world-class data organization in a fast-growth environment, this is your opportunity.

Key Responsibilities

Strategic Leadership & Data Science Execution

• Define and execute organizational data strategy in partnership with the CPO and CTO while 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

Analytics Products & Business Intelligence

• 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

Technical Architecture & Cross-Functional Partnership

• 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

What Sets You Up for Success

Technical Leadership & Comprehensive Data Expertise

• 6-8 years of combined experience in data science, machine learning, and statistical analysis with 3+ years in leadership roles building data capabilities, 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)
• Strong entrepreneurial mindset with self-starter mentality and proven ability to execute with urgency and excellence in fast-paced environments while managing contractor relationships, vendor partnerships, and cross-functional collaboration to deliver complex data science projects

Business Impact & Strategic Communication

• 5+ years driving revenue growth through data products, analytics, and optimization in e-commerce, digital advertising, or loyalty platforms with 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

Preferred Qualifications

• Degree in data science, statistics, computer science, or related quantitative field with experience in loyalty/rewards platforms, financial services, customer data platforms, and track record of thought leadership through industry speaking, publications, or open-source contributions

Benefits 

• Comprehensive benefits package including health, dental, and vision 
• 401(k) with company match 
• Executive development and continuous learning opportunities 
• Remote-friendly work environment with occasional travel to St. Paul, MN 
• Collaborative and innovative team culture with direct access to executive leadership 
• Opportunity to define the future of loyalty and digital advertising through data science innovation 

St. Paul, MN or Seattle, WA preferred, but open to remote 

Kigo is an equal opportunity employer committed to diversity and inclusion in the workplace.