Senior Data Scientist - Marketplace Media (Remote)

Launch Potato

La Plata

Remote

ARS 90,873,000 - 136,310,000

Full time

14 days+

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Job summary

Launch Potato is seeking a senior data scientist to build models that decide which carrier an auto insurance shopper sees on our click wall. You will also own the buying models behind our media spend, focused on ROAS, and put carrier conversion data to work in production. This is a hands-on, individual contributor role.

You frame problems with the business, find data, build and validate models, and stay with deployment and monitoring. An ML engineer partners with you on the production side.

Qualifications

  • 5+ years of hands-on applied data science with measurable business impact.
  • Models drove paid media decisions: spend, bidding or ad serving.
  • Explain models down to the loss function and architecture choice.
  • Understand how today’s bids shape training data, handle late labels, sparse features or drift.
  • Own models end to end: data, deployment and monitoring with perspective.
  • Expert Python and SQL.

Responsibilities

  • Build models to optimize carrier matching on the click wall.
  • Own buying models behind media spend with ROAS focus.
  • Ingest and productionize data such as quotes, policies and acquisition cost.
  • Frame business problems, find data, validate, deploy and monitor.
  • Collaborate with an ML engineer on production-side work.
  • Start with auto insurance and expand to other verticals over time.

Skills

Python
SQL
Machine Learning
Experimentation
Data storytelling

Tools

SageMaker
ECS
S3
Athena

Job description

Launch Potato is seeking a senior data scientist to build models that decide which carrier an auto insurance shopper sees on our click wall. You will also own the buying models behind our media spend, focused on ROAS, and put carrier conversion data to work in production. This is a hands-on, individual contributor role.

You frame problems with the business, find data, build and validate models, and stay with deployment and monitoring. An ML engineer partners with you on the production side.

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