Senior Data Scientist
Posted on 9/13/2023
Luminate
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Science
Data Structures & Algorithms
Marketing
Sales
Snowflake
Python
CategoriesNew
Data & Analytics
Requirements
  • Masters degree in Computer Science, Statistics, Mathematics, or related fields
  • 5+ years of experience in developing production-level predictive or Machine Learning models
  • Strong programming skills in Python
  • Ability to work independently with minimal Engineering support
  • Strong storytelling and communication skills to both technical and nontechnical team members
  • PhD degree in Computer Science, Statistics, Mathematics, or related fields
  • Familiar with modern data platforms. The tools we use include AWS, Snowflake, dbt, and more
  • Prior work in a startup or entertainment environment (music, tv, film, podcast, gaming, or entertainment tech)
Responsibilities
  • Leverage various data science methods such as machine learning, statistical modeling, and causal inference to understand user behavior and help optimize and drive product improvements and feature prioritization
  • Create predictive models using the latest machine learning algorithms on relatively “big” data
  • Independently utilize large data sets to uncover, size, and advocate for DS/ML opportunities that improve the experience for customers and internal teams
  • Solving opaque, unstructured problems by developing core DS/ML frameworks that shape the company's approach to data
  • Define, evaluate, and monitor key metrics, understanding the root causes of changes, and feeding them back to business stakeholders to action on
  • Present ideas and results, including translating business objectives to DS/ML problems and vice versa
  • Make Luminate an even better place to work by increasing data literacy and expertise through collaboration, development of DS/ML best practices, and documentation
  • Collaborate with cross-functional teams including Product, Engineering, Sales, Research, Marketing, and more