Full Time Job

Operations Research Data Scientist

Warner Music Group

New York, NY 04-28-2022
Apply @ Employer
  • Paid
  • Full Time
  • Senior (5-10 years) Experience
Job Description
Job Description:

Job Title: Operations Research Data Scientist

Reporting to: Vice President Data Science

Location: NYC, USA

A little bit about our team:

The Data Science department works to influence WMG's strategy and optimize immediate and long-term operations through data and insights. This position sits at WMG's NYC office, working within the Global Data Organization, WMG affiliates/labels, WMG international teams, and WMG Business Development to understand & curate the trends, patterns & dynamics – the audiences & listening behaviors – for WMG's music.

Your role:
• Instantiate & Productionize a suite of enterprise level models and applications that service the global WMG business. In particular: data pipelines, production-ready models for scheduling & dynamic strategy
• Implement and manage suite of models for optimizing music content and release strategy via mixed-integer linear programming (MILP) or stochastic optimization.
• Research, create, discover and publish new methodology in deterministic and stochastic programming for music listening, rights acquisition, release strategy, and audience segmentation.

Here you'll get to:
• Develop new optimization and scheduling tools based on forecasting, concatenation and compilation of listening behavior (audience segmentation, audience-to-content insight, product life cycle modelling, social behavior modelling) with quantified music/aural sound features
• Implement dynamic programs using best practices, guide analysis into action and results.
• Create modelling suite repositories, feature engineered semantic layers, model comparison repositories and testing assays.
• Develop new testing and decision making for real time assessment listening viewing patterns and performance of music delivery streams.
• Engage with ad hoc Business Intelligence requests; produce clear and insightful data-driven recommendations.
• Interact with data engineering teams to codify data needs.
• Help Create a stable and persistent audience/population platform.

About you:
• Doctoral degree and/or/with 7+ years of work experience or commensurate in Statistics, Operations Research, Computer Science, Computational Finance or Mathematics.
• Proficiency in one of: R, Python, SQL, Julia, BUGS, etc.
• Experience with implementation for large scale optimization models e.g. using Gurobi, CPLEX.
• Proficiency in numerical algorithms and discretization of systems defined by differential equations.
• A results-oriented mind-set with strong analytical skills and problem-solving ability.
• Strong interpersonal skills and ability to communicate clearly and effectively (orally and in writing).
• Strong organizational skills with the ability to work on multiple projects.
• Competence at transitioning and enhancing descriptive analytic work to predictive forecasting tools and understanding.
• Prompt, focused work habits and delivery

We'd love it if you also had:
• Experience/or relevant coursework in algorithm design.
• Familiarity with Bayesian statistics and probabilistic programming.
• Experience in writing production level code.
• Hands-on experience with Data Science semantic/feature engineering.


Jobcode: Reference SBJ-rz17z2-18-232-52-135-42 in your application.

Company Profile
Warner Music Group

With a legacy extending back over 200 years, Warner Music Group (WMG) today brings together artists, songwriters and entrepreneurs that are moving entertainment culture across the globe. Operating in more than 70 countries through a network of affiliates and licensees, WMG’s Recorded Music division includes renowned labels such as Asylum, Atlantic, Big Beat, Canvasback, Elektra, Erato, First Night, Fueled by Ramen, Nonesuch, Parlophone, Reprise, Rhino, Roadrunner, Sire, Spinnin’, Warner Records, Warner Classics and Warner Music Nashville.