Augeo

Manager, Data Science and Analytics Products

Augeo

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $120,000 - $150,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSJavaScriptPythonSQLTableau

About the role

  • Define and execute organizational data strategy in partnership with the 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 establish strategic contractor and vendor partnerships
  • Establish methodologies and governance practices for data science and analytics
  • Design and implement comprehensive 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, and develop A/B testing frameworks and experimentation strategies
  • 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
  • Partner with Product, Sales, and Strategic Partnerships to embed predictive models into core business processes and develop customer-facing analytics products
  • Support enterprise implementations with sophisticated analytics and modeling capabilities
  • Report directly to the President and Chief Product Officer
  • Hands-on work building machine learning models while managing contractor relationships

Requirements

  • 6-8 years of combined experience in data science, machine learning, and statistical analysis
  • 3+ years in leadership roles building data capabilities
  • 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)
  • Advanced SQL skills
  • Experience with web/app analytics platforms (Google Analytics, Adobe Analytics)
  • Experience designing A/B testing frameworks and experimentation strategies
  • Experience with model deployment, monitoring, and real-time scoring systems on AWS
  • Experience embedding predictive models into products and business processes
  • 5+ years driving revenue growth through data products, analytics, and optimization in e-commerce, digital advertising, or loyalty platforms
  • Strong communication skills with ability to present complex statistical concepts to C-level executives and external stakeholders
  • Experience managing contractor relationships, vendor partnerships, and cross-functional collaboration
  • Preferred: Degree in data science, statistics, computer science, or related quantitative field
  • Preferred: Experience in loyalty/rewards platforms, financial services, or customer data platforms
  • Preferred: Track record of thought leadership (industry speaking, publications, or open-source contributions)
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