Job Description

Job Title: Sr. Engagement Manager Sports & Entertainment Analytics

Location: NYC preferred, but open to remote with travel

Responsibilities

• Oversee delivery of multiple initiatives / projects in the Sports & Entertainment industry
• Own the problem solution, structure and delivery of the solution : collaborate with client stakeholders to understand and frame business requests, determine how best to leverage machine learning and advanced analytics methods (Ensemble models, Decision trees and Neural networks; Operations research; Statistical modeling such as multivariate techniques) to support business objectives
• Efficiently construct, develop, and implement the models in a variety of modeling tools, achieving highly accurate models
• Ensure insights from conclusions of analysis that integrate with initial hypothesis and business objective.
• Enable highly technical information into concise is communicated in understandable terms for presentations
• Provide oversight to find patterns in the data using advanced analytical tools and techniques
• Communicate analyses by preparing presentations for and participating in C-level clients

Qualifications

• Masters or Bachelor's degree in math, statistics, economics, computer engineering, business administration or related analytics field from top-tier universities with strong record of achievement or additional relevant experience
• 11+ years experience with solid analytics / data science skills and an entrepreneurial, hands-on approach
• Extremely strong in problem solving - case based solution approach; Ability to leverage data & analytics to address business problems
• Experience in Data science techniques such as regression / decision trees / gradient boosting
• Experience in Python and using Python libraries & SQL (Preferable) or SAS / R
• Experience in data wrangling / feature engineering / Data pipelines
• Strong communication skills to interpret data into insights succinctly and clearly for executive audience
• Domain/business expertise of Sports & Entertainment

Preferable

• Experience in ETL, Data Management & Data Engineering
• Experience in designing and developing BI solutions using - Tableau / Power BI / Qlik / Looker
• Experience in Digital Analytics / Personalization
• Experience in Optimization algorithms / libraries such as Convex / Linear Programming / Particle Swarm, Gurobi etc.