APIs for ranking

Senior Data Scientist

$90K - $150K / 0.10% - 0.30%
Job Type
3+ years
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Daniel Camilleri
Daniel Camilleri

About the role

We’re looking for a Senior Data Scientist to help customers integrate and develop recommendation models using the Shaped Platform. Responsibilities include connecting external data sources to Shaped, creating ranking models with our declarative SQL interface, and helping customers achieve their business objectives.

As a founding Senior Data Scientist, you'll collaborate with a diverse range of customers to solve their ranking challenges. Additionally, you'll contribute to shaping our product roadmaps and engineering culture.

We’re excited to work with you. Come build the future of AI with us!


  • Past experience working with recommendation systems in production
  • Bachelor's in computer science, data science or mathematics related field. Master's degree or PhD will be advantageous.
  • 3+ years of industry experience in a software engineering, data science or solutions architecture role
  • Proficient with Python, SQL
  • Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for problem-solving
  • In-depth knowledge of mathematics, statistics and algorithms.
  • Operate well within fast paced, small teams
  • Excellent written and verbal communication skills.


  • Become an expert at using the Shaped ranking platform
  • Experiment with ranking models for customer's discovery use-cases
  • Analyze data to identify performance improvements for customers' models swiftly
  • Experiment with pre-trained image, language, audio and video embedding models that understand our customer's discovery data
  • Build strong relationships with customers’ technical teams and leaders to ensure long-term success with Shaped
  • Deliver technical demos to showcase the Shaped’s capabilities to customers.
  • Proactively communicate with customers on timelines, updates and next steps

About Shaped

Shaped is a machine-learning platform for data teams to build real-time, personalized recommendation and search systems. We want to provide companies with the same powerful personalization stack used at TikTok, Meta, and Amazon.

We're based in Brooklyn, New York and backed by top investors like Y-Combinator and executives from Meta, Google and Amazon.

Team Size:7
Location:New York
Shai Bruhis
Shai Bruhis
Daniel Camilleri
Daniel Camilleri
Tullie Murrell
Tullie Murrell