Director, Data Science

<h3>📋 Description</h3> • 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. • Join Kigo and step into the future of loyalty and digital advertising! • We're seeking a Director of Business Intelligence & Data Products to lead Kigo's data science and analytics organization while building innovative data products that position Kigo as the leading global AI-driven loyalty platform. • This is a unique hybrid role that combines product management, data science, engineering, and advanced analytics to drive business outcomes through intelligent data solutions. • Reporting directly to the President and Chief Product Officer, you'll be hands-on building machine learning models, conducting advanced statistical analysis, and developing data products that optimize customer experiences and business outcomes. • You'll also manage contractor relationships and vendor partnerships to extend capabilities in data science, data engineering, and ML/AI engineering. • This role is for a technical leader who can balance strategic vision with hands-on execution across the full data science lifecycle while building organizational capability through a combination of internal talent and strategic contractor relationships. <h3>🎯 Requirements</h3> • 10+ years of combined experience in data science, machine learning, and statistical analysis with 3+ years in leadership roles building data capabilities through a combination of internal talent and contractor relationships • Deep expertise in statistical modeling, machine learning algorithms, predictive analytics, and experimental design with hands-on experience in Python/R, SQL, and advanced statistical packages (scikit-learn, TensorFlow, PyTorch, etc.) • Strong background in data science and ML services (Databricks, Snowflake, Google BigQuery, Google Vertex AI, SageMaker, EMR, Redshift, Lambda) with experience managing contractor relationships and vendor partnerships for specialized data science and engineering capabilities • 5+ years of experience in e-commerce, digital advertising, or loyalty platforms with proven track record of building data products that drive revenue growth and customer success • Experience with product management principles, user research, and translating business requirements into technical solutions through statistical analysis and modeling • Strong understanding of A/B testing, causal inference, customer analytics, and business metrics with ability to design and execute complex experiments • Exceptional ability to communicate complex statistical concepts and model results to technical and non-technical stakeholders including C-level executives and external customers • Strong entrepreneurial mindset with self-starter mentality and proven ability to execute with urgency and excellence in fast-paced, ambiguous environments • Experience managing contractor relationships, vendor partnerships, and cross-functional collaboration to deliver complex data science projects with distributed teams • Degree in data science, statistics, computer science, economics, or related quantitative field with experience in loyalty/rewards platforms, financial services, or customer analytics • Experience with customer data platforms (CDPs), marketing automation, and personalization systems with track record of thought leadership through industry speaking, publications, or open-source contributions • Background in causal inference, econometrics, or behavioral analytics with experience in international or multi-market statistical analysis <h3>🏖️ Benefits</h3> • 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