NBC-posted about 1 year ago
$165,000 - $190,000/Yr
Full-time • Senior
New York, NY
Broadcasting and Content Providers

The Sr. Lead Data Scientist will be a key member of the Decision Sciences team at NBCUniversal, responsible for developing analytical solutions for the company's video streaming services. This role involves utilizing advanced data science methodologies to enhance customer experience through dynamic pricing, messaging optimization, and customer value assessment. The position requires collaboration with business owners and engineers to create robust algorithmic targeting solutions, ensuring low latency predictions and high-quality model performance.

  • Lead existing and develop new projects related to the development of analytical models using machine learning, causal uplift modeling, and Gen AI techniques.
  • Provide mentorship to teammates via pairing and code reviews.
  • Expertly communicate work and project implications to stakeholders of varying technical expertise.
  • Conduct rigorous cross-validation and backtesting of model performance.
  • Proficiency with CI/CD processes and contribute to a sustainable and robust codebase.
  • Experience with batch jobs/data pipelines and comfortable deploying through these systems (i.e. Airflow, Luigi, Composer).
  • Build and interact with production systems for serving machine learning predictions.
  • Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
  • 3-5 years of combined experience in data science in industry or research.
  • Expert knowledge of standard data science and statistical techniques.
  • Track record of successful deployment of machine learning models, frameworks, and their training, prediction time, and implications on production systems.
  • Strong knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual bandits.
  • Experience implementing scalable systems (Google Cloud preferred).
  • Experience with data visualization tools and techniques.
  • Ability to develop ideas with stakeholders and turn them into rigorous solutions.
  • Proficient in Python and SQL.
  • Working experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs.
  • Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.).
  • Implementing and owning end-to-end data projects with a diverse group of stakeholders.
  • Knowledge of best practices with unit and data testing.
  • Familiarity with low latency APIs for Machine Learning inference.
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
  • Paid leave
  • Tuition reimbursement
  • Variety of discounts and perks
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