Vaga de parceiro

Senior Data Scientist, Performance Marketing - Salvador / BA

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • This is NOT an engineering/data engineering position.
  • MUST HAVE:Experience within the performance marketing/lead gen industries.
  • Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems.
  • EXPERIENCE: At least 4 years experience in a hands-on, in-the-weeds data science position.
  • You will develop 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 together daily and will drive significant consumer impact while increasing revenue.
  • You will play a pivotal role in the growth of our data science team.
  • You will be an instrumental resource as we build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.
  • This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation.
  • You will design and oversee integrating state-of-the-art machine learning solutions across the companys products.
  • This role will be responsible for strategically planning Machine Learning initiatives with the Product, Engineering, Performance, and Business Intelligence teams, analyzing potential impact, and prioritizing those projects.
  • SUCCESS LOOKS LIKEInnovate, 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 implementing 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.
  • WHAT YOU NEED TO SUCCEED4+ years of related work experience in 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 and Python, as well as 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.
  • NICE TO HAVESExperience with LLMs and Deep learning models to develop business and data science solutions directly impacting revenue and/or margin.
  • #J-18808-Ljbffr

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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