Kigo

Manager, Data Science and Analytics Products

Kigo

full-time

Posted on:

Location Type: Hybrid

Location: St. Paul • Minnesota, Washington • 🇺🇸 United States

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Salary

💰 $120,000 - $150,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSPythonSQLTableau

About the role

  • Report directly to the President and Chief Product Officer and lead Kigo's data science organization
  • Define and execute organizational data strategy in partnership with CPO and CTO
  • Personally lead 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 and manage contractor/vendor relationships
  • Design and implement business intelligence solutions using Power BI, Tableau, and advanced SQL
  • Leverage web/app analytics platforms (Google Analytics, Adobe Analytics) to optimize customer journeys and measure campaign effectiveness
  • Conduct deep-dive statistical analysis, hypothesis testing, A/B testing frameworks, and experimentation strategies
  • Oversee enterprise-scale data science infrastructure on AWS including model deployment, monitoring, and real-time scoring
  • Partner with Product, Sales, and Strategic Partnerships to embed predictive models into core business processes and develop customer-facing analytics products

Requirements

  • 6-8 years of combined experience in data science, machine learning, and statistical analysis
  • 3+ years in leadership roles building data capabilities
  • 5+ years driving revenue growth through data products, analytics, and optimization in e-commerce, digital advertising, or loyalty platforms
  • Deep expertise in statistical modeling and ML algorithms
  • Proficiency in Python and/or R
  • Experience with AWS data services (SageMaker, EMR, Redshift)
  • Experience with business intelligence tools (Power BI, Tableau) and advanced SQL
  • Experience with web/app analytics platforms (Google Analytics, Adobe Analytics)
  • Proven ability to communicate complex statistical concepts to C-level executives and external stakeholders
  • Experience managing contractor relationships and vendor partnerships
  • Strong entrepreneurial mindset and self-starter mentality
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningstatistical analysispredictive modelingA/B testinghypothesis testingPythonRSQLstatistical modeling
Soft skills
leadershipcommunicationentrepreneurial mindsetself-starter mentality
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