Lead Data Scientist
Posted on 4/1/2024
Luminate

51-200 employees

Comprehensive entertainment research and data tracking firm
Company Overview
TV Tracker, a subsidiary of Variety Group, stands out as a leading entertainment research and data tracking firm, providing crucial development and production information to over 250 top brands in the entertainment and media industry. With a focus on the three major divisions of filmed entertainment in the US - television, feature film, and digital entertainment, the company offers a competitive edge through its timely and accurate data. The company's culture, rooted in the dynamic entertainment hub of Los Angeles, fosters an environment of industry immersion, making it an exciting place to work for those passionate about entertainment.
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

2020

Headquarters

Los Angeles, California

Growth & Insights
Headcount

6 month growth

10%

1 year growth

36%

2 year growth

35%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Sales
Data Science
Data Structures & Algorithms
Marketing
CategoriesNew
Data Science
Data & Analytics
Requirements
  • Masters degree in Computer Science, Statistics, Mathematics, or related fields (preferred)
  • 7+ years of experience developing production-level predictive or Machine Learning models.
  • Prior experience deploying various models into production
  • 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
Responsibilities
  • Take technical ownership and work as a technical leader for one or multiple data science projects
  • Lead the design, development, and delivery of machine learning enabled solutions to address critical business questions
  • Create predictive models using the latest machine learning algorithms on big data
  • Implement, run, test, and deploy such models into production
  • 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
  • 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.