Hybrid Senior Data Scientist

Posted last month

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About the role

  • Perform extensive exploratory analyses across all the marketing channels
  • Develop, test, productionalize, monitor and maintain propensity models to optimize marketing investment and customer acquisition in AWS leveraging S3, Lambda and SageMaker
  • Productionize machine learning models with real-time and distributed batch scoring
  • Proficiency with MLOps practices and tools for model versioning, monitoring, CI/CD pipelines
  • Build dashboards in Tableau to communicate model trends, insights and performance
  • Identify new areas of opportunity and ideate with stakeholders on new projects
  • Stay current with industry best practices and emerging ML technologies
  • Other duties as assigned

Requirements

  • 5+ years of experience applying ML within lead generation and digital marketing
  • Advanced AWS experience; solutions architect certification or equivalent expertise preferred
  • Advanced proficiency with XGBoost, Neural Networks, and other ML techniques
  • Advanced Python, SQL and Tableau
  • Excellent storytelling and presentation skills
  • Proven ability to position oneself to advise and teach across a data organization
  • Bachelor's degree in Applied Mathematics, Computer Science, Physics, or equivalent experience; Master’s preferred

Benefits

  • Career path
  • Medical
  • Dental
  • Company paid group life / AD&D insurance
  • 7 paid holidays and 2 flex days to use at will
  • Paid time off
  • Flexible spending/HAS
  • Employee Assistance Program (EAP)
  • 401(k)
  • Referral program

Job title

Senior Data Scientist

Job type

Experience level

Senior

Salary

$120,000 - $150,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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