Senior Data Analyst

23 hours ago

Cincinnati, Ohio, United States Launch Potato Full time
About Launch Potato

Launch Potato is a leading digital media company with a diverse portfolio of brands and technologies. We specialize in connecting advertisers to customers at various stages of the consumer journey, from awareness to consideration to purchase.

Salary and Benefits

We offer a competitive base salary of $125,000 per year, paid bi-monthly, as well as a profit-sharing bonus and comprehensive benefits package.

About the Role

You will be responsible for developing deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers daily and drive significant consumer impact while increasing revenue.

  • Innovate, create, and design ML solutions to various business problems such as:
    • Design, implement and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB-tests.
    • Utilizing Large Language Models in content personalization across various verticals.
    • Recommendation systems to serve ads, offers, questions, etc.
  • Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring.
  • Provide data science support at different project stages, including the implementation of ML solutions by collaborating with Data Engineers and MLOps.
  • Being hands-on and in-the-weeds in the data, coding part of the solution implementation.
Requirements
  • 4+ years of related work experience in the field of Data Science & Machine learning.
  • 2+ years of experience in the Marketing/Advertising Industry.
  • Solid background in Machine Learning and Statistics.
  • Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems.
  • Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc.).
  • Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals.
  • Experience creating ML solutions within cloud services (AWS/GCP).
  • Experience with ML model development lifecycle.
  • Experience with data visualization (preferably Looker).
  • Experience managing a team of data scientists and machine learning researchers (including career development).
  • Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders.

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