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Data Scientist

ONE STOP COLLECTIBLE CORP
New York, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$100,000.0 - $150,000.0
Working hours
Regular working hours
Job source
startup.jobs

Tech stack

Data Analysis Python (Programming Language) Standard Sql Software Engineering SQL Databases Large Language Models Information Technology

Job description

  • 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

Requirements

  • 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.
  • 2+ 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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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1:14 min

Evolution of distributed SQL database architectures

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LIVE • over 3 years ago

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World Congress 2023 • almost 3 years ago

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World Congress 2024 • about 2 years ago

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World Congress 2023 • almost 3 years ago

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

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World Congress 2021 • about 5 years ago

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World Congress 2023 • about 3 years ago

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