drjobs Principal Data Scientist

Principal Data Scientist

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1 Vacancy
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Job Location drjobs

New York City, NY - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

The Media Group at NBCU supports a powerhouse collection of consumerfirst brands including Peacock NBC Bravo NBC Sports and NBCU International. With unequalled scale our teams make the most out of every opportunity to collaborate and learn from one another. Were always looking for ways to innovate faster accelerate our growth and consistently offer the very best in consumer experience. But most of all were backed by a culture of respect. We embrace authenticity and inspire people to thrive.

As a key member of the Decision Sciences team the Principal Data Scientist will create analytical solutions for various verticals of NBCUs video streaming service. This includes but is not limited to dynamic pricing messaging optimization CRM solutions and customer value assessment.

In this role the Principal Data Scientist will employ advanced data science methodologies such as causal uplift modeling contextual and noncontextual bandits experimentation and Gen AI (LLMs). They will collaborate closely with business owners teammates and engineers to develop stateoftheart algorithmic targeting solutions for a dynamic media platform. Additionally they will be responsible for building maintaining and testing robust productionready systems that may need to serve lowlatency predictions.

Responsibilities include but are not limited to:

  • Own and deliver results on complex projects related to the development of analytical models using machine learning causal uplift modeling contextual bandits and Gen AI techniques.
  • Provide mentorship to teammates through pairing and code reviews.
  • Serve as a technical lead for the team; stay updated on stateoftheart methods and help apply them as needed.
  • Communicate work and project implications effectively to stakeholders of varying technical expertise.
  • Develop templates and examples for the team on coding readmes and presentation materials.
  • Conduct rigorous crossvalidation backtesting and offline policy evaluation of machine learning models.
  • Expertise with CI/CD processes and contribute to a sustainable and robust codebase.
  • Experience with batch jobs/data pipelines and comfortable deploying through systems like Airflow Luigi and Composer.
  • Build and interact with production systems for serving machine learning predictions including realtime systems like TensorFlow Extended (TFX) pipelines and TensorFlow Serving.
  • Work crossfunctionally across data engineering and product teams to launch and maintain machine learningdriven projects.

Qualifications :

  • Advanced (Masters or PhD) degree with specialization in Statistics Computer Science Data Science Economics Mathematics Operations Research or another quantitative field or equivalent.
  • 58 years of combined experience in data science in industry or research.
  • Expert knowledge of standard data science and statistical techniques.
  • Expertise in two of the following: causal inference techniques Gen AI (LLM) implementation or contextual bandits.
  • Experience implementing scalable systems (Google Cloud preferred).
  • Proficiency with data visualization tools and techniques.
  • Ability to work with stakeholders to drive project ideas and turn them into rigorous solutions.
  • Expert knowledge of Python and SQL.

Desired Characteristics:

  • Proven experience working with product teams to deploy prescriptive machine learning models to drive one or more KPIs.
  • Knowledge of enterpriselevel digital analytics platforms (e.g. Adobe Analytics Google Analytics).
  • Demonstrated ability to implement and own endtoend data projects with a diverse group of stakeholders.
  • Experience building and working with low response time machine learning APIs for use cases such as search recommendations or prediction.
  • Proven track record of serving as the tech lead for a stakeholderfacing data science team.
  • Experience contributing to unit integration and data integrity tests for a machine learning codebase.

Hybrid: This position has been designated as hybrid generally contributing from the office a minimum of three days per week.

This position is eligible for company sponsored benefits including medical dental and vision insurance 401(k) paid leave tuition reimbursement and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $185000$220000 bonus and LTI eligible

 


Additional Information :

As part of our selection process external candidates may be required to attend an inperson interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversals policy is to provide equal employment opportunities to all applicants and employees without regard to race color religion creed gender gender identity or expression age national origin or ancestry citizenship disability sexual orientation marital status pregnancy veteran status membership in the uniformed services genetic information or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability you have the right to request a reasonable accommodation. You can submit your request to


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

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