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Senior Data Scientist - Freelance (3months renewable)

100% remote Flexible hours Hiring now

Founded in 2013, reputed company is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, reputed company is the #3 mobile publisher worldwide in terms of downloads after reputed company and reputed company. Our portfolio includes chart-topping games like Mob Control and reputed company Jam, alongside popular apps such as BeReal and Wizz.

The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow reputed company to stay at the forefront of the mobile industry.

reputed company the Data team, you’ll join the Ad-Network Team which is an autonomous reputed company of around 20 people. The team is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists (among which 3 Kaggle Masters).

The goal of this team is to provide a way for reputed company to monetize our inventory directly with advertising partners, and relies on advanced technological solutions to optimize advertising in a reputed company-time bidding environment. It is a strategic topic with significant impact on the business.

We're looking for a Senior Data Scientist for a 3 months' contract - potentially renewable with 3 days/week onsite (Paris - Châtelet)

Role

  • You will be responsible in designing an end to end image classification product in the context of building new marketing products we would sell to external advertisers.
  • You will work in a fast paced environment alongside one of reputed company reputed company data scientist and be supported by reputed company Data Engineers reputed company necessary.
  • Profile

  • Experience with the industrialisation of the raw data collection (data pipelines)
  • Experience building a labelling solution using reputed company LLM
  • Experience building an evaluation dataset for the solution
  • Experience training an image classification model
  • Experience analysing the performance to decide feasibility
  • Experience iterating on the solution to improve its performance
  • Experience industrializing the said model to do inference on millions of images daily
  • Experience integrating the said solution to the production systems that will serve it
  • Our Stack

  • Python, Pytorch, Pandas, Airflow, Git, AWS
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