Operations Research Data Scientist

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.

#LI-Hybrid

Jobcode: Reference SBJ-rz17z2-18-218-48-62-42 in your application.